Pub Date : 2023-03-22DOI: 10.1109/JMASS.2023.3278569
Xiangwei Bu;Zongcheng Liu
Most of the existing prescribed performance control (PPC) methodologies are developed in the continuous-time domain. In this article, a discrete-time PPC (DPPC) strategy is investigated for an air-vehicle’s seeker stabilized platform. Unlike the existing DPPC whose convergence time drifts with the sampling time, the proposed controller is able to guarantee tracking errors with fixed convergence time via devising a new discrete-time performance function, which improves the engineering practicability. Moreover, a new disturbance observer is constructed to estimate both system uncertainties and external disturbances. In addition, the backstepping procedure is used to design a DPPC approach for the sake of stabilizing transformed errors. This endows tracking errors with desired fixed-time prescribed performance. Finally, the efficiency of design is verified via compared simulations.
{"title":"Discrete-Time Prescribed Performance Control of an Air-Vehicle’s Seeker Stabilized Platform","authors":"Xiangwei Bu;Zongcheng Liu","doi":"10.1109/JMASS.2023.3278569","DOIUrl":"https://doi.org/10.1109/JMASS.2023.3278569","url":null,"abstract":"Most of the existing prescribed performance control (PPC) methodologies are developed in the continuous-time domain. In this article, a discrete-time PPC (DPPC) strategy is investigated for an air-vehicle’s seeker stabilized platform. Unlike the existing DPPC whose convergence time drifts with the sampling time, the proposed controller is able to guarantee tracking errors with fixed convergence time via devising a new discrete-time performance function, which improves the engineering practicability. Moreover, a new disturbance observer is constructed to estimate both system uncertainties and external disturbances. In addition, the backstepping procedure is used to design a DPPC approach for the sake of stabilizing transformed errors. This endows tracking errors with desired fixed-time prescribed performance. Finally, the efficiency of design is verified via compared simulations.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"4 3","pages":"267-273"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49966674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objectives: The Airport South Expressway in China is built in a soft soil area, which may induce great hidden danger to airport traffic safety operations. Technology or Method: A new method to improve multitemporal interferometric synthetic aperture radar (MT-InSAR) technology, based on a novel time-series InSAR deformation model and an improved parameter estimation algorithm, is proposed for soft soil expressways monitoring. The functional relationship between the deformation and the creep parameters (viscosity and elastic modulus) based on the Maxwell model in 1-D linear rheology replaces the traditional InSAR linear model, and the creep physical parameters can be solved simultaneously in the solution process. The least squares method with inequality constraints (LSICs) is induced to solve the unknown parameters. In total, 19 TerraSAR-X radar satellite images covering the South Expressway were utilized to validate the proposed method. The creep parameters for each pixel along the expressways and the time-series deformation sequences from January 2012 to July 2014 were obtained. Results: As the results showed, the maximum settlement along the expressway was up to 125 mm, and the accuracy verification results showed that the modeling accuracy was 1.6 mm, with an improvement of 36.0% compared to the traditional linear model; the internal accuracy of the deformation results was ±1.9 mm, accounting for 1.5% of the maximum deformation. Clinical or Biological Impact: Our method can provide data support and a reference for long-term health monitoring and early warning of infrastructure and traffic operation management in poor soil regions.
{"title":"Health Observation of the Capital Airport South Expressway Based on Improved MT-InSAR Technology","authors":"Xuemin Xing;Li Huang;Zhongming He;Tengfei Zhang;Yikai Zhu","doi":"10.1109/JMASS.2023.3260098","DOIUrl":"https://doi.org/10.1109/JMASS.2023.3260098","url":null,"abstract":"Objectives: The Airport South Expressway in China is built in a soft soil area, which may induce great hidden danger to airport traffic safety operations. Technology or Method: A new method to improve multitemporal interferometric synthetic aperture radar (MT-InSAR) technology, based on a novel time-series InSAR deformation model and an improved parameter estimation algorithm, is proposed for soft soil expressways monitoring. The functional relationship between the deformation and the creep parameters (viscosity and elastic modulus) based on the Maxwell model in 1-D linear rheology replaces the traditional InSAR linear model, and the creep physical parameters can be solved simultaneously in the solution process. The least squares method with inequality constraints (LSICs) is induced to solve the unknown parameters. In total, 19 TerraSAR-X radar satellite images covering the South Expressway were utilized to validate the proposed method. The creep parameters for each pixel along the expressways and the time-series deformation sequences from January 2012 to July 2014 were obtained. Results: As the results showed, the maximum settlement along the expressway was up to 125 mm, and the accuracy verification results showed that the modeling accuracy was 1.6 mm, with an improvement of 36.0% compared to the traditional linear model; the internal accuracy of the deformation results was ±1.9 mm, accounting for 1.5% of the maximum deformation. Clinical or Biological Impact: Our method can provide data support and a reference for long-term health monitoring and early warning of infrastructure and traffic operation management in poor soil regions.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"4 3","pages":"232-241"},"PeriodicalIF":0.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49966951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-16DOI: 10.1109/JMASS.2023.3258379
Kai Yang;Zhihui Yuan;Xuemin Xing;Lifu Chen
Two-dimensional phase unwrapping (2D-PU) is a key processing step for interferometric synthetic aperture radar (InSAR) and it plays an important role in InSAR data processing. For the phase unwrapping (PU) problem, many scholars began to consider using the deep learning (DL) technology in the field of artificial intelligence. By accumulating InSAR PU processing experience through DL, the learning-based PU method can surpass the traditional PU algorithm sometimes. Therefore, this article designs a mask-cuts (MCs) deployment network based on DL, which is named MCNet, and the PU method based on this network is also known as MCNet-PU. First, the residues images and its corresponding MCs images are obtained by using the traditional MC method as the training data and testing data. Second, the relationship between residues and MCs is learned through the training of the self-built MCNet. Then, the trained MCNet is used to obtain the MCs corresponding to the interferogram to be unwrapped. Finally, the unwrapped result is obtained by phase integration using the traditional flood fill method. Compared with the traditional MC method, MCNet does not need to use the quality map to guide the deployment of the MCs, nor does it need to refine the MCs, and it can make the deployment of the MCs more accurate. Experiments on simulated and real InSAR data show that the MCNet-PU method can improve the phase unwrapping success ratio (PUSR) by about 4%–15%, which shows the effectiveness of the method.
{"title":"Deep-Learning-Based Mask-Cut Method for InSAR Phase Unwrapping","authors":"Kai Yang;Zhihui Yuan;Xuemin Xing;Lifu Chen","doi":"10.1109/JMASS.2023.3258379","DOIUrl":"https://doi.org/10.1109/JMASS.2023.3258379","url":null,"abstract":"Two-dimensional phase unwrapping (2D-PU) is a key processing step for interferometric synthetic aperture radar (InSAR) and it plays an important role in InSAR data processing. For the phase unwrapping (PU) problem, many scholars began to consider using the deep learning (DL) technology in the field of artificial intelligence. By accumulating InSAR PU processing experience through DL, the learning-based PU method can surpass the traditional PU algorithm sometimes. Therefore, this article designs a mask-cuts (MCs) deployment network based on DL, which is named MCNet, and the PU method based on this network is also known as MCNet-PU. First, the residues images and its corresponding MCs images are obtained by using the traditional MC method as the training data and testing data. Second, the relationship between residues and MCs is learned through the training of the self-built MCNet. Then, the trained MCNet is used to obtain the MCs corresponding to the interferogram to be unwrapped. Finally, the unwrapped result is obtained by phase integration using the traditional flood fill method. Compared with the traditional MC method, MCNet does not need to use the quality map to guide the deployment of the MCs, nor does it need to refine the MCs, and it can make the deployment of the MCs more accurate. Experiments on simulated and real InSAR data show that the MCNet-PU method can improve the phase unwrapping success ratio (PUSR) by about 4%–15%, which shows the effectiveness of the method.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"4 2","pages":"221-230"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49964255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A high-precision digital elevation model (DEM) is useful for disaster investigation and evaluation in cloudy, rainy, and complex mountainous areas. However, clouds and rain make the optical images and laser point-cloud data acquisition difficult, while noise prohibits obtaining accurate surface information. Additionally, the complex elevation difference in mountainous areas increases the data processing difficulty, such as phase unwrapping (PU) and filtering. To overcome these problems, first, we introduce a new airborne multibaseline Ka-interferometric synthetic aperture radar (InSAR) system developed by the Beijing Institute of Radio Measurement. The system affords high resolution and small volume, is lightweight, has a good top-view angle, and is flexible. Thus, it reduces the flight platform’s dependence and improves the aircraft’s adaptability and universality. Moreover, a multibaseline PU method of a two-stage programming approach (TSPA) is selected to overcome the influence of severe noise and the phase continuity assumption limitation. Additionally, an adaptive filtering method for InSAR point clouds considering coherence and optimal bending energy is proposed. This method’s validity is verified using stereo satellite images, ground observation point precision checks, and geomorphic texture analysis against existing DEM results. The experimental results demonstrate that the proposed scheme has a good filtering effect on noise, vegetation, residential building areas, and bridges, significantly reducing manual intervention. Moreover, the results highlight that our method is well integrated with stereo images and has more texture details than conventional stereo mapping results, with a mean square error of elevation of 1.938 m.
{"title":"Precision Terrain Modeling Approach in Complex Mountainous Areas Based on Compact UAV Ka-InSAR Data","authors":"Fei Liu;Shuang Li;Yaoquan Jing;Jia Liu;Han Hu;Quan Gan;Tingting Zhao;Yuling Ding;Xing Pan;Shuo Deng;Qing Zhu","doi":"10.1109/JMASS.2023.3276949","DOIUrl":"https://doi.org/10.1109/JMASS.2023.3276949","url":null,"abstract":"A high-precision digital elevation model (DEM) is useful for disaster investigation and evaluation in cloudy, rainy, and complex mountainous areas. However, clouds and rain make the optical images and laser point-cloud data acquisition difficult, while noise prohibits obtaining accurate surface information. Additionally, the complex elevation difference in mountainous areas increases the data processing difficulty, such as phase unwrapping (PU) and filtering. To overcome these problems, first, we introduce a new airborne multibaseline Ka-interferometric synthetic aperture radar (InSAR) system developed by the Beijing Institute of Radio Measurement. The system affords high resolution and small volume, is lightweight, has a good top-view angle, and is flexible. Thus, it reduces the flight platform’s dependence and improves the aircraft’s adaptability and universality. Moreover, a multibaseline PU method of a two-stage programming approach (TSPA) is selected to overcome the influence of severe noise and the phase continuity assumption limitation. Additionally, an adaptive filtering method for InSAR point clouds considering coherence and optimal bending energy is proposed. This method’s validity is verified using stereo satellite images, ground observation point precision checks, and geomorphic texture analysis against existing DEM results. The experimental results demonstrate that the proposed scheme has a good filtering effect on noise, vegetation, residential building areas, and bridges, significantly reducing manual intervention. Moreover, the results highlight that our method is well integrated with stereo images and has more texture details than conventional stereo mapping results, with a mean square error of elevation of 1.938 m.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"4 3","pages":"257-266"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49966673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-14DOI: 10.1109/JMASS.2023.3257177
Xiangwei Bu
Variable prescribed performance control (PPC) is investigated for a type of nonlinear dynamic systems subject to actuator saturation, with an application to the manipulator of unmanned aerial vehicles (UAVs). Different from the current state-of-the-art, new performance functions are proposed to construct a variable prescribed funnel which is able to be readjusted according to the saturation situation. Furthermore, a new auxiliary system is developed to provide timely and bounded compensations on ideal control inputs. Thereby, the control singular problem associated with the existing PPC, caused by a saturated actuator, is effectively handled, and moreover, the addressed control protocol exhibits nonfragility to actuator saturation. In addition, the robustness of control is guaranteed via neural approximation. Finally, compared simulations on the manipulator of UAVs are presented to validate the design.
{"title":"Saturated Control With Variable Prescribed Performance Applied to the Manipulator of UAV","authors":"Xiangwei Bu","doi":"10.1109/JMASS.2023.3257177","DOIUrl":"https://doi.org/10.1109/JMASS.2023.3257177","url":null,"abstract":"Variable prescribed performance control (PPC) is investigated for a type of nonlinear dynamic systems subject to actuator saturation, with an application to the manipulator of unmanned aerial vehicles (UAVs). Different from the current state-of-the-art, new performance functions are proposed to construct a variable prescribed funnel which is able to be readjusted according to the saturation situation. Furthermore, a new auxiliary system is developed to provide timely and bounded compensations on ideal control inputs. Thereby, the control singular problem associated with the existing PPC, caused by a saturated actuator, is effectively handled, and moreover, the addressed control protocol exhibits nonfragility to actuator saturation. In addition, the robustness of control is guaranteed via neural approximation. Finally, compared simulations on the manipulator of UAVs are presented to validate the design.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"4 2","pages":"212-220"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49964256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-13DOI: 10.1109/JMASS.2022.3226183
Jianlai Chen;Mengliang Li;Mengdao Xing;Gang Xu;Yucan Zhu;Ruoming Li;Wangzhe Li
Due to system instability and other reasons, the actual range sampling frequency (RSF) of the system may deviate from the ideal value for the microwave photonic synthetic aperture radar (SAR). This deviation may lead to severe residual range cell migration (RCM) and even range defocus after imaging, which can seriously affect the image quality. To resolve this problem, this article proposes an airborne microwave photonic SAR imaging algorithm based on inaccurate system parameter estimation. First, the algorithm estimates and compensates for the range spatial-variant motion error to eliminate the effect of this motion error on the remaining RCM and range defocus. Second, based on the minimum entropy criterion of the image, we use the optimization model to estimate the actual RSF. Finally, the existing wide-beam autofocus method is used to correct the azimuth spatial-variant motion error. The simulation data and the measured data processing results verify the effectiveness of the proposed method.
{"title":"Processing of Airborne Microwave Photonic SAR Raw Data With Inaccurate RSF","authors":"Jianlai Chen;Mengliang Li;Mengdao Xing;Gang Xu;Yucan Zhu;Ruoming Li;Wangzhe Li","doi":"10.1109/JMASS.2022.3226183","DOIUrl":"https://doi.org/10.1109/JMASS.2022.3226183","url":null,"abstract":"Due to system instability and other reasons, the actual range sampling frequency (RSF) of the system may deviate from the ideal value for the microwave photonic synthetic aperture radar (SAR). This deviation may lead to severe residual range cell migration (RCM) and even range defocus after imaging, which can seriously affect the image quality. To resolve this problem, this article proposes an airborne microwave photonic SAR imaging algorithm based on inaccurate system parameter estimation. First, the algorithm estimates and compensates for the range spatial-variant motion error to eliminate the effect of this motion error on the remaining RCM and range defocus. Second, based on the minimum entropy criterion of the image, we use the optimization model to estimate the actual RSF. Finally, the existing wide-beam autofocus method is used to correct the azimuth spatial-variant motion error. The simulation data and the measured data processing results verify the effectiveness of the proposed method.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"4 2","pages":"86-92"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49964254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-10DOI: 10.1109/JMASS.2023.3274929
Ivan V. Saetchnikov;Victor V. Skakun;Elina A. Tcherniavskaia
Computer vision-based systems seem highly perspective for semantic analysis of the dynamical objects. However, considering dynamical object recognition and tracking from the unmanned aerial vehicle (UAV) the task to design a robust model for data association is highly challenging due to additional issues, e.g., image degradation, nonfixed object camera distance and shooting focus, and real-time issues. Thus, we propose an accurate deep neural network-based dynamical object recognition and robust multiobject tracking technique based on bidirectional LSTM with the optimized motion and appearance gates as a multiobject tracking backbone, supported by an advanced single-shot detector network improved with residual prediction model and implemented a DenseNet network as well as a YOLOv4eff network as feature extraction. The technique has been trained on VisDrone 2022 and UAVDT datasets with the side-shoot dynamical objects at a height of up to 50 m. The performance analysis on the test stage performed on seven metrics demonstrate that the proposed technique surpasses, by accuracy and robustness ability, other state-of-the-art techniques based on two cumulative MOTA and MOTP, as well as MT and IDsw. In particular, we have dramatically decreased the number of IDsw which implies a better capability to handle several occlusions, which is a desirable property in real-time multiple object tracking. We have pointed out the sensitivity of the tracking performance of our technique on the number of utilizing different sequence lengths and have defined an optimum. Finally, the applicability and reliability of the proposed technique for onboard UAV computer-based systems have been discussed.
{"title":"Deep Neural Network-Based Dynamical Object Recognition and Robust Multiobject Tracking Technique for Onboard Unmanned Aerial Vehicle’s Computer Vision-Based Systems","authors":"Ivan V. Saetchnikov;Victor V. Skakun;Elina A. Tcherniavskaia","doi":"10.1109/JMASS.2023.3274929","DOIUrl":"https://doi.org/10.1109/JMASS.2023.3274929","url":null,"abstract":"Computer vision-based systems seem highly perspective for semantic analysis of the dynamical objects. However, considering dynamical object recognition and tracking from the unmanned aerial vehicle (UAV) the task to design a robust model for data association is highly challenging due to additional issues, e.g., image degradation, nonfixed object camera distance and shooting focus, and real-time issues. Thus, we propose an accurate deep neural network-based dynamical object recognition and robust multiobject tracking technique based on bidirectional LSTM with the optimized motion and appearance gates as a multiobject tracking backbone, supported by an advanced single-shot detector network improved with residual prediction model and implemented a DenseNet network as well as a YOLOv4eff network as feature extraction. The technique has been trained on VisDrone 2022 and UAVDT datasets with the side-shoot dynamical objects at a height of up to 50 m. The performance analysis on the test stage performed on seven metrics demonstrate that the proposed technique surpasses, by accuracy and robustness ability, other state-of-the-art techniques based on two cumulative MOTA and MOTP, as well as MT and IDsw. In particular, we have dramatically decreased the number of IDsw which implies a better capability to handle several occlusions, which is a desirable property in real-time multiple object tracking. We have pointed out the sensitivity of the tracking performance of our technique on the number of utilizing different sequence lengths and have defined an optimum. Finally, the applicability and reliability of the proposed technique for onboard UAV computer-based systems have been discussed.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"4 3","pages":"250-256"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49966672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-01DOI: 10.1109/JMASS.2023.3269434
Jianlai Chen;Xiaoqing Xu;Junchao Zhang;Gang Xu;Yucan Zhu;Buge Liang;Degui Yang
Aiming at the problem of target detection for multiple source information fusion, in this article, a decision-level fusion algorithm for visible and SAR images is proposed. First, using the Faster-RCNN network detects visible and SAR images to retain the detection results, respectively. Second, the semantic segmentation of visible images based on U-Net is realized. Finally, based on the detection results of single source and semantic segmentation results of land and sea, a fusion strategy based on decision level is proposed to achieve accurate target detection under multisource information. Through experimental verification, the detection performance of the proposed algorithm is an advantage over that of single-source image detection. The detection accuracy is 2.87% and 4.73% higher, and the recall rate is 3.02% and 0.19% higher than that of visible and SAR images separately. Compared with other target detection algorithms based on traditional image fusion, the proposed method has fewer false detections and missed detections.
{"title":"Ship Target Detection Algorithm Based on Decision-Level Fusion of Visible and SAR Images","authors":"Jianlai Chen;Xiaoqing Xu;Junchao Zhang;Gang Xu;Yucan Zhu;Buge Liang;Degui Yang","doi":"10.1109/JMASS.2023.3269434","DOIUrl":"https://doi.org/10.1109/JMASS.2023.3269434","url":null,"abstract":"Aiming at the problem of target detection for multiple source information fusion, in this article, a decision-level fusion algorithm for visible and SAR images is proposed. First, using the Faster-RCNN network detects visible and SAR images to retain the detection results, respectively. Second, the semantic segmentation of visible images based on U-Net is realized. Finally, based on the detection results of single source and semantic segmentation results of land and sea, a fusion strategy based on decision level is proposed to achieve accurate target detection under multisource information. Through experimental verification, the detection performance of the proposed algorithm is an advantage over that of single-source image detection. The detection accuracy is 2.87% and 4.73% higher, and the recall rate is 3.02% and 0.19% higher than that of visible and SAR images separately. Compared with other target detection algorithms based on traditional image fusion, the proposed method has fewer false detections and missed detections.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"4 3","pages":"242-249"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49966950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-28DOI: 10.1109/JMASS.2023.3250581
Koffi V. C. K. de Souza;Yassine Bouslimani;Mohsen Ghribi;Tobie Boutot
The design and development of a CubeSat testing platform built from scratch is the focus of this work. The investigation was conducted as part of the Canadian CubeSat Project (CCP), an initiative conducted by the Canadian Space Agency (CSA) to support the development of 15 CubeSats across Canada. In this article, a particular emphasis is placed on three key subsystems: 1) an on-board computer (OBC); 2) a global navigation satellite system (GNSS)-based payload; and 3) a communication board, all connected together through a FlatSat board. The mission software running on an STM32-microcontroller (MCU)-based OBC is responsible for managing all CubeSat activities. The OBC was designed to meet a range of requirements, including mechanical, electrical, and thermal requirements. Indeed, due to the intense heat and radiation that the CubeSat will be exposed to in low-Earth orbit (LEO), the CubeSat may experience many difficulties, potentially leading to mission failure. The risk-reduction techniques used in the design of the OBC will be discussed in detail. The tests performed on the developed OBC were successful, including an initial power test and a vacuum test, where the MCU entered low-power mode for a total of 10 s, consuming only 0.0528 W of power.
{"title":"On-Board Computer and Testing Platform for CubeSat Development","authors":"Koffi V. C. K. de Souza;Yassine Bouslimani;Mohsen Ghribi;Tobie Boutot","doi":"10.1109/JMASS.2023.3250581","DOIUrl":"https://doi.org/10.1109/JMASS.2023.3250581","url":null,"abstract":"The design and development of a CubeSat testing platform built from scratch is the focus of this work. The investigation was conducted as part of the Canadian CubeSat Project (CCP), an initiative conducted by the Canadian Space Agency (CSA) to support the development of 15 CubeSats across Canada. In this article, a particular emphasis is placed on three key subsystems: 1) an on-board computer (OBC); 2) a global navigation satellite system (GNSS)-based payload; and 3) a communication board, all connected together through a FlatSat board. The mission software running on an STM32-microcontroller (MCU)-based OBC is responsible for managing all CubeSat activities. The OBC was designed to meet a range of requirements, including mechanical, electrical, and thermal requirements. Indeed, due to the intense heat and radiation that the CubeSat will be exposed to in low-Earth orbit (LEO), the CubeSat may experience many difficulties, potentially leading to mission failure. The risk-reduction techniques used in the design of the OBC will be discussed in detail. The tests performed on the developed OBC were successful, including an initial power test and a vacuum test, where the MCU entered low-power mode for a total of 10 s, consuming only 0.0528 W of power.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"4 2","pages":"199-211"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49964257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-24DOI: 10.1109/JMASS.2023.3249044
João Cláudio Elsen Barcellos;Anderson Wedderhoff Spengler;Laio Oriel Seman;Raphael Diego Comesanha e Silva;Héctor Pettenghi Roldán;Eduardo Augusto Bezerra
Recent trends indicate an increase in the number of small satellite missions, which can be developed more quickly and at a lower cost than traditional satellites. This has led to a growing interest in university-based satellite development, despite a lack of expertise in the space field, which has resulted in a high failure rate for such missions. To address this issue, the implementation of robust and reliable verification and validation (V&V) methods has become essential, and it has been demonstrated that the use of a FlatSat during the V&V campaign increases reliability. Despite the significance of FlatSat, there is a dearth of information on the platforms used to implement it, as well as a classification scheme for locating them. This article contributes to bridging this gap by conducting a systematic mapping of 65 works that were selected based on specific criteria and subsequently analyzed. The primary characteristics of the platforms are enumerated, and a new classification for FlatSat platforms into Raw, Bridge, Dock, and Modular is proposed. In order to provide a comprehensive understanding of the topic, the principal tests conducted on these platforms were also covered.
{"title":"FlatSat Platforms for Small Satellites: A Systematic Mapping and Classification","authors":"João Cláudio Elsen Barcellos;Anderson Wedderhoff Spengler;Laio Oriel Seman;Raphael Diego Comesanha e Silva;Héctor Pettenghi Roldán;Eduardo Augusto Bezerra","doi":"10.1109/JMASS.2023.3249044","DOIUrl":"https://doi.org/10.1109/JMASS.2023.3249044","url":null,"abstract":"Recent trends indicate an increase in the number of small satellite missions, which can be developed more quickly and at a lower cost than traditional satellites. This has led to a growing interest in university-based satellite development, despite a lack of expertise in the space field, which has resulted in a high failure rate for such missions. To address this issue, the implementation of robust and reliable verification and validation (V&V) methods has become essential, and it has been demonstrated that the use of a FlatSat during the V&V campaign increases reliability. Despite the significance of FlatSat, there is a dearth of information on the platforms used to implement it, as well as a classification scheme for locating them. This article contributes to bridging this gap by conducting a systematic mapping of 65 works that were selected based on specific criteria and subsequently analyzed. The primary characteristics of the platforms are enumerated, and a new classification for FlatSat platforms into Raw, Bridge, Dock, and Modular is proposed. In order to provide a comprehensive understanding of the topic, the principal tests conducted on these platforms were also covered.","PeriodicalId":100624,"journal":{"name":"IEEE Journal on Miniaturization for Air and Space Systems","volume":"4 2","pages":"186-198"},"PeriodicalIF":0.0,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49964258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：