Full-waveform hyperspectral light detection and ranging (FWHSL) is vital in retrieving spatial and spectral information during laser scanning. Four main influence factors, the distance between two neighbor targets, the coverage ratio, the incident angle, and the target's reflectance, determine the information of the FWHSL returns. Previous studies mainly focus on the influence of the neighbor distance, incident angle, and reflectance, while we focus on the coverage ratio of the targets in a laser footprint. We propose a novel multispectral waveform decomposition method, including the Trust-Region algorithm for single wavelength waveform decomposition, 3σ rule for screening decomposition results and correction between multispectral waveform decomposition, to obtain the accurate spatial and spectral information from the multispectral returns, which realizes the decomposition error less than 0.3cm when the neighbor distance is 40cm, for a 4ns pulse width LiDAR signal. We find the intensity and overlapped ratio of the returns are strongly related to the coverage ratio, which may accelerate the progress in point cloud information extraction and target recognition.
{"title":"Analysis and exploration of spatial and spectral information with small-footprint hyperspectral lidar returns","authors":"Jia-jie Dong, Shi-long Xu, Yu-hao Xia","doi":"10.1117/12.3003887","DOIUrl":"https://doi.org/10.1117/12.3003887","url":null,"abstract":"Full-waveform hyperspectral light detection and ranging (FWHSL) is vital in retrieving spatial and spectral information during laser scanning. Four main influence factors, the distance between two neighbor targets, the coverage ratio, the incident angle, and the target's reflectance, determine the information of the FWHSL returns. Previous studies mainly focus on the influence of the neighbor distance, incident angle, and reflectance, while we focus on the coverage ratio of the targets in a laser footprint. We propose a novel multispectral waveform decomposition method, including the Trust-Region algorithm for single wavelength waveform decomposition, 3σ rule for screening decomposition results and correction between multispectral waveform decomposition, to obtain the accurate spatial and spectral information from the multispectral returns, which realizes the decomposition error less than 0.3cm when the neighbor distance is 40cm, for a 4ns pulse width LiDAR signal. We find the intensity and overlapped ratio of the returns are strongly related to the coverage ratio, which may accelerate the progress in point cloud information extraction and target recognition.","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"312 ","pages":"129590D - 129590D-15"},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139173376","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}
The relationship between neural activity, brain function, and corresponding biological behaviors remains a significant challenge in neuroscience. Exploring this relationship needs various optical imaging techniques to acquire real-time data with high spatial resolution. A promising technology recently is wearable miniaturized microscopes (mini scopes), which enable long-term neural activity recording in freely moving animals. However, most one-photon mini-scopes have limitations for imaging in-depth with high resolution and large field of view (FOV). To address this, we developed a one-photon miniaturized fluorescence microscope (1P-miniFM), intended for imaging of live brain neurons in free-behaving animals at subcellular level (~1.2 μm). We conducted specially designed optical path, achieving an imaging FOV of ~700 × 400 μm. In addition, we incorporated an electrowetting lens (EWL) to achieve a wide range of ~300 μm z-axis scanning with little resolution loss. 1P-miniFM is compact (11 × 17 × 24 mm) and lightweight (~2.9 g), causing little impediment to animals’ spontaneous behaviors. With genetically encoded calcium indicator GCaMP6s, we monitored neuron activities in secondary motor cortex (M2) during consecutive pain-related and sensory stimulations. We found that M2 neurons are key components and exhibit distinct variations in the response patterns. 1P-miniFM has potential as an excellent tool to explore relationships between neuron network and animal behaviors.
{"title":"High-resolution focus-tunable one-photon miniaturized fluorescence microscope for imaging in freely moving animals","authors":"Xiaoyu Liu, Zenan Wu, Junnan Xu, W. Gong, Ke Si","doi":"10.1117/12.3007740","DOIUrl":"https://doi.org/10.1117/12.3007740","url":null,"abstract":"The relationship between neural activity, brain function, and corresponding biological behaviors remains a significant challenge in neuroscience. Exploring this relationship needs various optical imaging techniques to acquire real-time data with high spatial resolution. A promising technology recently is wearable miniaturized microscopes (mini scopes), which enable long-term neural activity recording in freely moving animals. However, most one-photon mini-scopes have limitations for imaging in-depth with high resolution and large field of view (FOV). To address this, we developed a one-photon miniaturized fluorescence microscope (1P-miniFM), intended for imaging of live brain neurons in free-behaving animals at subcellular level (~1.2 μm). We conducted specially designed optical path, achieving an imaging FOV of ~700 × 400 μm. In addition, we incorporated an electrowetting lens (EWL) to achieve a wide range of ~300 μm z-axis scanning with little resolution loss. 1P-miniFM is compact (11 × 17 × 24 mm) and lightweight (~2.9 g), causing little impediment to animals’ spontaneous behaviors. With genetically encoded calcium indicator GCaMP6s, we monitored neuron activities in secondary motor cortex (M2) during consecutive pain-related and sensory stimulations. We found that M2 neurons are key components and exhibit distinct variations in the response patterns. 1P-miniFM has potential as an excellent tool to explore relationships between neuron network and animal behaviors.","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"25 5","pages":"129631Z - 129631Z-8"},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139173472","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}
Lin Cheng, Wenqing Hong, Xiaodong Wang, Chuanming Liu, Junbo Su, Lan Su, Chen Zhang
The grayscale mapping of infrared images is an important research direction in the field of infrared image visualization. The grayscale mapping method of infrared images directly determines important visualization indicators such as detail preservation and overall perception of the original infrared images and can be considered as the foundation and guarantee for detail enhancement. Although the current mainstream grayscale mapping methods for infrared images can achieve good mapping results, there is still room for improvement in terms of preserving image details and enhancing image contrast. In this paper, we propose a grayscale mapping method for infrared images based on generative adversarial networks. Firstly, our discriminator adopts a unique global-local structure, which allows the network to consider both global and local losses when calculating the loss, effectively improving the image quality in local regions of the mapped image. Secondly, we introduce perceptual loss in the loss function, which ensures that the generated image and the target image have consistent features as much as possible. We conducted subjective and objective evaluations on the mapping results of our method and eight mainstream methods. The evaluation results show that our method is superior in terms of preserving image details and enhancing image contrast. Further comparison with a parameter-free tone mapping operator using generative adversarial network (TMO-Net) indicates that our method avoids problems such as target edge blur and artifacts in the mapped images, resulting in higher visual quality of the mapped images.
{"title":"A grayscale mapping method for infrared images based on generative adversarial networks","authors":"Lin Cheng, Wenqing Hong, Xiaodong Wang, Chuanming Liu, Junbo Su, Lan Su, Chen Zhang","doi":"10.1117/12.3005506","DOIUrl":"https://doi.org/10.1117/12.3005506","url":null,"abstract":"The grayscale mapping of infrared images is an important research direction in the field of infrared image visualization. The grayscale mapping method of infrared images directly determines important visualization indicators such as detail preservation and overall perception of the original infrared images and can be considered as the foundation and guarantee for detail enhancement. Although the current mainstream grayscale mapping methods for infrared images can achieve good mapping results, there is still room for improvement in terms of preserving image details and enhancing image contrast. In this paper, we propose a grayscale mapping method for infrared images based on generative adversarial networks. Firstly, our discriminator adopts a unique global-local structure, which allows the network to consider both global and local losses when calculating the loss, effectively improving the image quality in local regions of the mapped image. Secondly, we introduce perceptual loss in the loss function, which ensures that the generated image and the target image have consistent features as much as possible. We conducted subjective and objective evaluations on the mapping results of our method and eight mainstream methods. The evaluation results show that our method is superior in terms of preserving image details and enhancing image contrast. Further comparison with a parameter-free tone mapping operator using generative adversarial network (TMO-Net) indicates that our method avoids problems such as target edge blur and artifacts in the mapped images, resulting in higher visual quality of the mapped images.","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"3 3","pages":"129660J - 129660J-15"},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139173633","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}
Considering the potential application demands of atmospheric polarization effects in fields such as navigation, remote sensing, and astronomical observations, experimental research has been conducted to investigate the variations of sky polarization degree under different scattering angles and wavelength conditions. The ideal analysis models of atmospheric polarization characteristics have been established based on the Rayleigh scattering theory. The distribution features of polarization degree and polarization angle in the sky were investigated, and their varying laws with the scattering angle were provided by the simulation study. An experimental system for measuring the atmospheric polarization characteristics was constructed using a turntable, division of focal plane (DoFP) polarization camera, telephoto lens, and bandpass filters. The atmospheric polarization patterns were measured and studied at different observing angles and wavelengths. The experimental results indicate that the magnitude of sky polarization degree is closely related to the scattering angle and it reaches its maximum near 90°. At the four experimental measurement wavelengths of 500 nm, 700 nm, 870 nm, and 1065 nm, the measured values of the sky polarization degree were 0.75, 0.64, 0.41, and 0.28, respectively. The sky polarization degree exhibits a downward trend with the increase of wavelength, and the atmospheric polarization effect gradually weakens with the increase of wavelength. These conclusions provide a meaningful reference for selecting appropriate observation angles and wavelength ranges in astronomical observation and remote sensing applications.
{"title":"Experimental study on atmospheric polarization characteristics measurement with different observation angles and wavelengths","authors":"Bin Zhang, Chao Gao, Xiao-Yun Cao, Bingli Lei","doi":"10.1117/12.3008127","DOIUrl":"https://doi.org/10.1117/12.3008127","url":null,"abstract":"Considering the potential application demands of atmospheric polarization effects in fields such as navigation, remote sensing, and astronomical observations, experimental research has been conducted to investigate the variations of sky polarization degree under different scattering angles and wavelength conditions. The ideal analysis models of atmospheric polarization characteristics have been established based on the Rayleigh scattering theory. The distribution features of polarization degree and polarization angle in the sky were investigated, and their varying laws with the scattering angle were provided by the simulation study. An experimental system for measuring the atmospheric polarization characteristics was constructed using a turntable, division of focal plane (DoFP) polarization camera, telephoto lens, and bandpass filters. The atmospheric polarization patterns were measured and studied at different observing angles and wavelengths. The experimental results indicate that the magnitude of sky polarization degree is closely related to the scattering angle and it reaches its maximum near 90°. At the four experimental measurement wavelengths of 500 nm, 700 nm, 870 nm, and 1065 nm, the measured values of the sky polarization degree were 0.75, 0.64, 0.41, and 0.28, respectively. The sky polarization degree exhibits a downward trend with the increase of wavelength, and the atmospheric polarization effect gradually weakens with the increase of wavelength. These conclusions provide a meaningful reference for selecting appropriate observation angles and wavelength ranges in astronomical observation and remote sensing applications.","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"66 1","pages":"129620N - 129620N-6"},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139173854","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}
This paper proposes a new method for detecting small infrared targets, which addresses the issue of low detection probability (DP) and high false alarm probability (FAP) caused by false alarm sources such as high bright background edge or independent noise. The method employs a three-layer window for local contrast calculation to obtain a more accurate reference value of the background, which can enhance real targets and suppress complex backgrounds. It also solves the problems of multi-scale target detection and independent noise removal by using rank order filtering of fixed center window. Furthermore, targets are enhanced using the gray scale distributions of their edges contrast calculation, thereby improving the DP and reducing the FAP. Experimental validation on several infrared sequences and images confirms the effectiveness and robustness of the proposed method, which outperforms five existing algorithms in terms of DP and FAP.
{"title":"A centre-scale sorting local contrast method for infrared small target detection","authors":"Zuoxun Hou, Zijian Liu, Jiaqi Shen, Junhua Yan, Yin Zhang","doi":"10.1117/12.3007626","DOIUrl":"https://doi.org/10.1117/12.3007626","url":null,"abstract":"This paper proposes a new method for detecting small infrared targets, which addresses the issue of low detection probability (DP) and high false alarm probability (FAP) caused by false alarm sources such as high bright background edge or independent noise. The method employs a three-layer window for local contrast calculation to obtain a more accurate reference value of the background, which can enhance real targets and suppress complex backgrounds. It also solves the problems of multi-scale target detection and independent noise removal by using rank order filtering of fixed center window. Furthermore, targets are enhanced using the gray scale distributions of their edges contrast calculation, thereby improving the DP and reducing the FAP. Experimental validation on several infrared sequences and images confirms the effectiveness and robustness of the proposed method, which outperforms five existing algorithms in terms of DP and FAP.","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"32 4","pages":"129600G - 129600G-9"},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174099","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}
Jinghao Wang, Zhen Wang, Chen Hu, Huan Zhang, Kun Yin, Haitao Wang
An efficient and tolerant chip-to-chip optical coupling approach employing silicon nitride grating couplers was proposed and investigated. The integration of bottom mirrors and the strategic extension of grating length led to notable results, with a peak coupling loss of -0.28 dB and a 1-dB alignment tolerance along the x-axis reaching 25.4 μm when using a grating length of 50 μm.
{"title":"Efficient and tolerant chip-to-chip optical coupling via silicon nitride grating couplers","authors":"Jinghao Wang, Zhen Wang, Chen Hu, Huan Zhang, Kun Yin, Haitao Wang","doi":"10.1117/12.3005779","DOIUrl":"https://doi.org/10.1117/12.3005779","url":null,"abstract":"An efficient and tolerant chip-to-chip optical coupling approach employing silicon nitride grating couplers was proposed and investigated. The integration of bottom mirrors and the strategic extension of grating length led to notable results, with a peak coupling loss of -0.28 dB and a 1-dB alignment tolerance along the x-axis reaching 25.4 μm when using a grating length of 50 μm.","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"41 ","pages":"129660Q - 129660Q-5"},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174139","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}
We propose a silicon based optofluidic one-dimensional photonic crystal biosensor structure for tumor marker detection, which is composed of a nanobeam resonator transducer with excellent detection limit performance, a filter with low sidelobe jitter and a microfluidics roof. Using the three-dimensional finite difference time domain method, a one-dimensional photonic crystal slot nanobeam resonator transducer optimization model consisting of a circular hole array linearly decreasing from the center to both ends was obtained. Under the influence of absorption loss of biological solution, the transducer works in the communication E-band, with the Q value still up to 10538, refractive index sensitivity of 338 nm/RIU, and refractive index detection limit of 10-5 RIU, corresponding to the detection of fg/mL carcinoembryonic antigen, which can be directly used for the detection of tumor marker under the capture of antibody probes in microfluidics chip. By optimizing the apertures on both sides of one-dimensional photonic crystals with a taper shape, a cutoff filter with low sidelobe jitter can effectively filter out the high-order resonant peaks of the transducer, forming a large free wavelength detection range. The microfluidics channel is used to inject different refractive index liquids, and the cut-off wavelength can match the detection requirements of different concentrations of tumor markers. The sensor structure is expected to build a multi-channel parallel lab-on-chip through splitters and detect multiple tumor markers simultaneously.
{"title":"Optofluidic integrated one-dimensional photonic crystal biosensor for tumor marker detection","authors":"Qing Shi, Shilun Feng, Jianlong Zhao","doi":"10.1117/12.3003776","DOIUrl":"https://doi.org/10.1117/12.3003776","url":null,"abstract":"We propose a silicon based optofluidic one-dimensional photonic crystal biosensor structure for tumor marker detection, which is composed of a nanobeam resonator transducer with excellent detection limit performance, a filter with low sidelobe jitter and a microfluidics roof. Using the three-dimensional finite difference time domain method, a one-dimensional photonic crystal slot nanobeam resonator transducer optimization model consisting of a circular hole array linearly decreasing from the center to both ends was obtained. Under the influence of absorption loss of biological solution, the transducer works in the communication E-band, with the Q value still up to 10538, refractive index sensitivity of 338 nm/RIU, and refractive index detection limit of 10-5 RIU, corresponding to the detection of fg/mL carcinoembryonic antigen, which can be directly used for the detection of tumor marker under the capture of antibody probes in microfluidics chip. By optimizing the apertures on both sides of one-dimensional photonic crystals with a taper shape, a cutoff filter with low sidelobe jitter can effectively filter out the high-order resonant peaks of the transducer, forming a large free wavelength detection range. The microfluidics channel is used to inject different refractive index liquids, and the cut-off wavelength can match the detection requirements of different concentrations of tumor markers. The sensor structure is expected to build a multi-channel parallel lab-on-chip through splitters and detect multiple tumor markers simultaneously.","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"140 1","pages":"129631U - 129631U-5"},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174435","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}
Remote sensing satellite in low earth orbit is a kind of spacecraft developed to meet the needs of high-resolution imaging observation, rapid response to emergency earth observation and disaster image monitoring. In this paper, a finite element model of a remote sensing satellite camera with a diameter of 800mm thermal protection door (thermal door for short) was established. The topological optimization design technology is used to design the thermal door structures with high-reliability, high-strength and ultra-light. After optimization, the weight of thermal door is 4.5Kg. The finite element simulation analysis is carried out on the thermal door, and the analysis results show that the thermal door meets the harsh mechanical conditions of a satellite platform. The mechanical test of thermal door was carried out, and the test results match the simulation analysis results. After the mechanical test, the thermal boundary and vacuum conditions in orbit were simulated in the thermal vacuum experiment tank, and the thermal door’s opening and closing tests were carried out. The thermal door’s opening/closing time, opening/closing speed, structural stability and positioning accuracy meet the index requirements. This thermal door has been developed and delivered to the satellite. The research results of this paper have a certain reference value for the design of thermal door for remote sensing satellite cameras with low power consumption and high temperature control requirements..
{"title":"Lightweight design and analysis on thermal door of remote sensing satellite camera in low earth orbit","authors":"Baocheng Zou, Yanhui Jiang, Hui Zhao, Zhiqing Song, Tingyun Luo, Haibo Zhao","doi":"10.1117/12.3007634","DOIUrl":"https://doi.org/10.1117/12.3007634","url":null,"abstract":"Remote sensing satellite in low earth orbit is a kind of spacecraft developed to meet the needs of high-resolution imaging observation, rapid response to emergency earth observation and disaster image monitoring. In this paper, a finite element model of a remote sensing satellite camera with a diameter of 800mm thermal protection door (thermal door for short) was established. The topological optimization design technology is used to design the thermal door structures with high-reliability, high-strength and ultra-light. After optimization, the weight of thermal door is 4.5Kg. The finite element simulation analysis is carried out on the thermal door, and the analysis results show that the thermal door meets the harsh mechanical conditions of a satellite platform. The mechanical test of thermal door was carried out, and the test results match the simulation analysis results. After the mechanical test, the thermal boundary and vacuum conditions in orbit were simulated in the thermal vacuum experiment tank, and the thermal door’s opening and closing tests were carried out. The thermal door’s opening/closing time, opening/closing speed, structural stability and positioning accuracy meet the index requirements. This thermal door has been developed and delivered to the satellite. The research results of this paper have a certain reference value for the design of thermal door for remote sensing satellite cameras with low power consumption and high temperature control requirements..","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"136 3","pages":"129640G - 129640G-10"},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174437","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}
Xianzhe Wang, Xiao-dong Jia, Kui Zhou, Hao Zhang, Tao Zhou
Complicated environment and obstacles like power lines are pernicious to low-flying helicopters. A novel obstacle detection algorithm for onboard LiDAR evadible system is proposed, which lowers false alarm rate (FAR) and raises detection speed (DS). Firstly, the pass-through filter and planarization voxel filter are used for denoising and sampling reduction. Then, the point cloud is separated by adaptive threshold elevation filtering. Finally, the power lines are extracted with line feature constraint. Experimental results show the maximum detection distance for power lines is up to 800 m, recall rate, over 95%, false alarm rate, below 5%, and that the detection time is less than 100 ms.
{"title":"Research on detection method of airborne obstacle avoidance lidar","authors":"Xianzhe Wang, Xiao-dong Jia, Kui Zhou, Hao Zhang, Tao Zhou","doi":"10.1117/12.3007725","DOIUrl":"https://doi.org/10.1117/12.3007725","url":null,"abstract":"Complicated environment and obstacles like power lines are pernicious to low-flying helicopters. A novel obstacle detection algorithm for onboard LiDAR evadible system is proposed, which lowers false alarm rate (FAR) and raises detection speed (DS). Firstly, the pass-through filter and planarization voxel filter are used for denoising and sampling reduction. Then, the point cloud is separated by adaptive threshold elevation filtering. Finally, the power lines are extracted with line feature constraint. Experimental results show the maximum detection distance for power lines is up to 800 m, recall rate, over 95%, false alarm rate, below 5%, and that the detection time is less than 100 ms.","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"41 12","pages":"1296318 - 1296318-9"},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174638","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}
With the improvement of hardware computing power, the application of deep learning methods in the field of remote sensing is increasing. This paper summarizes the progress of deep learning methods in remote sensing image object detection in recent years. The main methods of deep learning methods to extract and use target feature information in various target detection tasks are summarized. Finally, the application trend of deep learning methods in the field of remote sensing image detection is prospected.
{"title":"A review of deep learning object detection methods for remote sensing images","authors":"Xueying Wang, Weishan Lu, Feng Zhang, Yuan D. Huang, Zhichao Sha, Shilin Zhou","doi":"10.1117/12.3008145","DOIUrl":"https://doi.org/10.1117/12.3008145","url":null,"abstract":"With the improvement of hardware computing power, the application of deep learning methods in the field of remote sensing is increasing. This paper summarizes the progress of deep learning methods in remote sensing image object detection in recent years. The main methods of deep learning methods to extract and use target feature information in various target detection tasks are summarized. Finally, the application trend of deep learning methods in the field of remote sensing image detection is prospected.","PeriodicalId":502341,"journal":{"name":"Applied Optics and Photonics China","volume":"50 8","pages":"129631Q - 129631Q-7"},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174802","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}
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