Pub Date : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849360
Weicui Ding, Lele Han, Shenglin Xu, Xuanhua Chen, Zengzheng Wang, Ye Wang
Quantitative analysis of linear tectonics can reflect the spatial spreading, activity intensity, relative magnitude, and directional source of stress of tectonics, and thus reveal the tectonic evolution characteristics. This study conducted the quantitative analysis of fault systems based on GIS and RS using geostatistical methods on the West Junggar region of Xinjiang, China. The results show that: 1. the distribution of slope direction is consistent with the distribution of major faults, and the correlation between the direction of linear tectonics and slope greater than 16° is large; the proportion of NE direction in the slope direction map is the largest at 13.13%. 2. the main fault direction is N50°~60°E; the direction with the largest number of faults is 70°~90°. 3. the linear structure of the study area has a 32km~2km range with Good self-similarity and fractal characteristics. The fractal dimension of the whole area is D=1.6068 and R2=0.9985, and the fractal dimension of the linear structure in different directions and different subdivisions is above 1.3, and the correlation coefficient R2 is above 0.99. The linear structure of the study area has good self-similarity and fractal characteristics. This study provides an effective method for macroscopic analysis of the spatial distribution of the structure.
{"title":"Faults System Analysis of the West Junggar Region Based on Remote Sensing","authors":"Weicui Ding, Lele Han, Shenglin Xu, Xuanhua Chen, Zengzheng Wang, Ye Wang","doi":"10.1109/ICGMRS55602.2022.9849360","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849360","url":null,"abstract":"Quantitative analysis of linear tectonics can reflect the spatial spreading, activity intensity, relative magnitude, and directional source of stress of tectonics, and thus reveal the tectonic evolution characteristics. This study conducted the quantitative analysis of fault systems based on GIS and RS using geostatistical methods on the West Junggar region of Xinjiang, China. The results show that: 1. the distribution of slope direction is consistent with the distribution of major faults, and the correlation between the direction of linear tectonics and slope greater than 16° is large; the proportion of NE direction in the slope direction map is the largest at 13.13%. 2. the main fault direction is N50°~60°E; the direction with the largest number of faults is 70°~90°. 3. the linear structure of the study area has a 32km~2km range with Good self-similarity and fractal characteristics. The fractal dimension of the whole area is D=1.6068 and R2=0.9985, and the fractal dimension of the linear structure in different directions and different subdivisions is above 1.3, and the correlation coefficient R2 is above 0.99. The linear structure of the study area has good self-similarity and fractal characteristics. This study provides an effective method for macroscopic analysis of the spatial distribution of the structure.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130388087","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849241
Lele Han, Weicui Ding, Xuanhua Chen, Da Zhang, Shenglin Xu, Ye Wang, Zeng-Zhen Wang
The study of the developmental characteristics of the West Junggar tectonic landscape is one of the important elements in understanding the tectonic deformation processes in the Central Asian orogenic belt. In this study, the topographic slope, contour lines and profile lines of the West Junggar region were analyzed by applying the publicly available ASTER GDEM elevation data to study the tectonic landform development characteristics. The results of the study show that 1. The West Junggar region is constrained by three regional northeast-trending Class I faults. The regional Class I faults play an important role in the development of separated landforms, causing significant differences in the tectonic landforms on both sides of the boundary faults. 2. The overall tectonic landforms in West Junggar form a tertiary landform. The lowest landform unit is the Junggar Basin. The second level landform unit is the transition area between the darabut fault and the Junggar Basin. The tertiary landform unit is the high-altitude mountainous area between the Darabut fault, the Mayile fault and the Ba’erluke strike-slip fault. The formation of tertiary landforms is limited by the distribution of faults, and the difference between the two plates of the fault leads to different landform indicators on both sides, and the accumulation of stratigraphic material at the end of the fault forms tectonic highlands. This is an important indicator for further study of tectonic deformation in the Central Asian orogenic belt.
{"title":"Tectonic Geomorphology Analysis based on Digital Elevation Model in West Junggar","authors":"Lele Han, Weicui Ding, Xuanhua Chen, Da Zhang, Shenglin Xu, Ye Wang, Zeng-Zhen Wang","doi":"10.1109/ICGMRS55602.2022.9849241","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849241","url":null,"abstract":"The study of the developmental characteristics of the West Junggar tectonic landscape is one of the important elements in understanding the tectonic deformation processes in the Central Asian orogenic belt. In this study, the topographic slope, contour lines and profile lines of the West Junggar region were analyzed by applying the publicly available ASTER GDEM elevation data to study the tectonic landform development characteristics. The results of the study show that 1. The West Junggar region is constrained by three regional northeast-trending Class I faults. The regional Class I faults play an important role in the development of separated landforms, causing significant differences in the tectonic landforms on both sides of the boundary faults. 2. The overall tectonic landforms in West Junggar form a tertiary landform. The lowest landform unit is the Junggar Basin. The second level landform unit is the transition area between the darabut fault and the Junggar Basin. The tertiary landform unit is the high-altitude mountainous area between the Darabut fault, the Mayile fault and the Ba’erluke strike-slip fault. The formation of tertiary landforms is limited by the distribution of faults, and the difference between the two plates of the fault leads to different landform indicators on both sides, and the accumulation of stratigraphic material at the end of the fault forms tectonic highlands. This is an important indicator for further study of tectonic deformation in the Central Asian orogenic belt.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116561988","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849393
Xufei Wang, Yanyi Li
Given the difficulties in the statistics and investigation of the development and change of the surrounding area of the metropolitan airport, this paper proposes a method based on L-U-NET deep learning network to extract and analyze the objective elements of urban development in the surrounding urban area of Tianjin Binhai International Airport by processing high-resolution remote sensing images. This paper examines the local remote sensing image data for a continuous period through quantitative indicators, counts the specific values of relevant indicators, and gives the analysis of the development of cities around Tianjin Binhai International Airport, which provides a reference for the quantification of the development of regions around airports in following cities of the same type.
{"title":"Quantitative analysis of urban development and changes around urban airports based on high-resolution remote sensing images","authors":"Xufei Wang, Yanyi Li","doi":"10.1109/ICGMRS55602.2022.9849393","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849393","url":null,"abstract":"Given the difficulties in the statistics and investigation of the development and change of the surrounding area of the metropolitan airport, this paper proposes a method based on L-U-NET deep learning network to extract and analyze the objective elements of urban development in the surrounding urban area of Tianjin Binhai International Airport by processing high-resolution remote sensing images. This paper examines the local remote sensing image data for a continuous period through quantitative indicators, counts the specific values of relevant indicators, and gives the analysis of the development of cities around Tianjin Binhai International Airport, which provides a reference for the quantification of the development of regions around airports in following cities of the same type.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123122100","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}
SAR image is widely used in many fields, such as military, agricultural, and environmental, of its distinct characteristics and advantages. As one of the most critical steps in SAR image processing, image segmentation has always been the research focus. However, SAR images often contain complex scenes and have a significant speckle noise resulting in an unsatisfactory segmentation effect. To address the impacts of intricate texture and noise, we used various features to segment the image, such as gray features, texture features, and morphological characteristics. Firstly, the image is initially segmented using superpixels, and the image is in a state of over-segmentation, but the influence of noise will be largely eliminated. Secondly, we use the normalized grayscale co-occurrence matrix to extract the texture features of each superpixel. Whether the two regions belong to the same category can be judged by calculating the difference between the grayscale histogram and the texture features. Moreover, we propose the concept of bracketing coefficient and choose the order of merging. Finally, the merged residual regions are classified using the K-means method. We conduct experiments on a simulated SAR image and a real SAR image. The experimental results show that the segmentation accuracy of the proposed method has reached more than 95, and it has a good segmentation effect.
{"title":"SAR Image Segmentation by Merging Multiple Feature Regions","authors":"Hang Yu, Haoran Jiang, Zhiheng Liu, Yibo Sun, Suiping Zhou, Qianyu Gou","doi":"10.1109/ICGMRS55602.2022.9849225","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849225","url":null,"abstract":"SAR image is widely used in many fields, such as military, agricultural, and environmental, of its distinct characteristics and advantages. As one of the most critical steps in SAR image processing, image segmentation has always been the research focus. However, SAR images often contain complex scenes and have a significant speckle noise resulting in an unsatisfactory segmentation effect. To address the impacts of intricate texture and noise, we used various features to segment the image, such as gray features, texture features, and morphological characteristics. Firstly, the image is initially segmented using superpixels, and the image is in a state of over-segmentation, but the influence of noise will be largely eliminated. Secondly, we use the normalized grayscale co-occurrence matrix to extract the texture features of each superpixel. Whether the two regions belong to the same category can be judged by calculating the difference between the grayscale histogram and the texture features. Moreover, we propose the concept of bracketing coefficient and choose the order of merging. Finally, the merged residual regions are classified using the K-means method. We conduct experiments on a simulated SAR image and a real SAR image. The experimental results show that the segmentation accuracy of the proposed method has reached more than 95, and it has a good segmentation effect.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"45 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120887526","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849233
Jun Shao, Shuaikang Zhang, Yanfeng Sun, Jiao Cai, Jiaxin Tang
In the process of sustainable and rapid development of regional urbanization and industrialization, urban and rural functional areas, as the agglomeration functional areas and organizational system bearing the main regional production factors, play a vital role in the overall development of urban and rural areas. However, at present, in areas with relatively backward economic development, the urbanization rate is low, the connection between towns is not close enough, the agglomeration economic benefits are low, and the urban and rural functional areas have not been formed or unreasonable, which seriously restricts the process of urban-rural integration and the improvement of overall competitiveness. Jianli city is a typical agricultural city in Jianghan Plain. With the promotion of industrialization and urbanization, the city urgently needs to integrate regional natural, economic, cultural and other resources, optimize the urban and rural spatial pattern, and realize the overall development of regional urban and rural economy and society. Taking Jianli city as an example, this paper uses the combination of qualitative and quantitative methods. First, it discusses the spatial agglomeration and spatial correlation characteristics of natural, social and economic resources based on G IS grid analysis. Secondly, the hierarchical analysis method is used to identify the spatial echelon distribution pattern of resource elements, and to preliminarily divide the urban and rural spatial functional areas. Then, the township gravity model is constructed, the preliminarily designated urban and rural areas are revised, and the spatial development mode of “point-line-surface” area coordination is put forward. Finally, based on the overall planning of urban and rural areas, the idea of multi-township merger planning is put forward to realize the balanced allocation and flow of urban and rural elements.
{"title":"Exploration on the coordination mode of urban and rural areas in Jianli City under the perspective of GIS","authors":"Jun Shao, Shuaikang Zhang, Yanfeng Sun, Jiao Cai, Jiaxin Tang","doi":"10.1109/ICGMRS55602.2022.9849233","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849233","url":null,"abstract":"In the process of sustainable and rapid development of regional urbanization and industrialization, urban and rural functional areas, as the agglomeration functional areas and organizational system bearing the main regional production factors, play a vital role in the overall development of urban and rural areas. However, at present, in areas with relatively backward economic development, the urbanization rate is low, the connection between towns is not close enough, the agglomeration economic benefits are low, and the urban and rural functional areas have not been formed or unreasonable, which seriously restricts the process of urban-rural integration and the improvement of overall competitiveness. Jianli city is a typical agricultural city in Jianghan Plain. With the promotion of industrialization and urbanization, the city urgently needs to integrate regional natural, economic, cultural and other resources, optimize the urban and rural spatial pattern, and realize the overall development of regional urban and rural economy and society. Taking Jianli city as an example, this paper uses the combination of qualitative and quantitative methods. First, it discusses the spatial agglomeration and spatial correlation characteristics of natural, social and economic resources based on G IS grid analysis. Secondly, the hierarchical analysis method is used to identify the spatial echelon distribution pattern of resource elements, and to preliminarily divide the urban and rural spatial functional areas. Then, the township gravity model is constructed, the preliminarily designated urban and rural areas are revised, and the spatial development mode of “point-line-surface” area coordination is put forward. Finally, based on the overall planning of urban and rural areas, the idea of multi-township merger planning is put forward to realize the balanced allocation and flow of urban and rural elements.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128866268","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849395
Kunyang Zhao, Geng Ren, Panfei Zheng, Bo Li, Zonghe Li
High-filling airports have the characteristics of large terrain fluctuations, complex geological conditions, diverse materials and huge engineering volume, which tend to cause problems such as site instability, differential settlement, and instability of high slopes. It is very important to strengthen the monitoring of airport high filling engineering, and the internal settlement of the filling body is one of the main items of high filling monitoring. When the traditional layered settlement monitoring device is used to monitor the internal settlement of the high filling slope, it has disadvantages such as the difficulty of embedding measuring elements, observation during construction, and automatic monitoring. Aiming at the current problems in the monitoring of the layered settlement of the filling body, this paper developed a layered settlement monitoring system of the filling body based on the fiber grating technology, which could realize the automatic settlement monitoring of the multi-point displacement inside the filling body. The on-site application test results show that the monitoring system has reasonable structure design. The monitoring system also has the advantages of easy operation, high precision and environmental compatibility and it is suitable for layered settlement monitoring of airport high filling slope.
{"title":"Research on Layered Settlement Monitoring System of Airport High Filling Slope Based on Fiber Grating Technology","authors":"Kunyang Zhao, Geng Ren, Panfei Zheng, Bo Li, Zonghe Li","doi":"10.1109/ICGMRS55602.2022.9849395","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849395","url":null,"abstract":"High-filling airports have the characteristics of large terrain fluctuations, complex geological conditions, diverse materials and huge engineering volume, which tend to cause problems such as site instability, differential settlement, and instability of high slopes. It is very important to strengthen the monitoring of airport high filling engineering, and the internal settlement of the filling body is one of the main items of high filling monitoring. When the traditional layered settlement monitoring device is used to monitor the internal settlement of the high filling slope, it has disadvantages such as the difficulty of embedding measuring elements, observation during construction, and automatic monitoring. Aiming at the current problems in the monitoring of the layered settlement of the filling body, this paper developed a layered settlement monitoring system of the filling body based on the fiber grating technology, which could realize the automatic settlement monitoring of the multi-point displacement inside the filling body. The on-site application test results show that the monitoring system has reasonable structure design. The monitoring system also has the advantages of easy operation, high precision and environmental compatibility and it is suitable for layered settlement monitoring of airport high filling slope.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128896672","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849321
Zhisong Liu, Zhaohui Zou, Chao Chen, Zili Zhang, Yao Chen
As the third largest island in Zhoushan, China, Liuheng island is one of the important pillars of Zhoushan aquaculture. Accurately extracting information such as the distribution and area of aquaculture ponds is of great significance to the future planning and management of aquaculture ponds. In this study, U2-net was used to extract the characteristics of coastal aquaculture ponds in Liuheng island, China. The results show that this method can reduce the influence of the same-spectrum foreign body phenomenon and effectively improve accuracy. During the study period of 2020, in terms of time distribution, the area of aquaculture ponds in Liuheng island fluctuated from 5.8 km2 to 8.6 km2 with the seasons. In terms of spatial distribution, coastal aquaculture ponds of Liuheng island are mainly distributed in the southern part of the island (5.39 km2). This study could help producers manage coastal aquaculture more scientifically.
{"title":"Extraction of aquaculture ponds based on U2-net using remote sensing images in the Liuheng island, China","authors":"Zhisong Liu, Zhaohui Zou, Chao Chen, Zili Zhang, Yao Chen","doi":"10.1109/ICGMRS55602.2022.9849321","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849321","url":null,"abstract":"As the third largest island in Zhoushan, China, Liuheng island is one of the important pillars of Zhoushan aquaculture. Accurately extracting information such as the distribution and area of aquaculture ponds is of great significance to the future planning and management of aquaculture ponds. In this study, U2-net was used to extract the characteristics of coastal aquaculture ponds in Liuheng island, China. The results show that this method can reduce the influence of the same-spectrum foreign body phenomenon and effectively improve accuracy. During the study period of 2020, in terms of time distribution, the area of aquaculture ponds in Liuheng island fluctuated from 5.8 km2 to 8.6 km2 with the seasons. In terms of spatial distribution, coastal aquaculture ponds of Liuheng island are mainly distributed in the southern part of the island (5.39 km2). This study could help producers manage coastal aquaculture more scientifically.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128898252","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849370
T. Guo, Zhenwei Guo, Y. Liu, Jianxin Liu
With development and continuous improvement of methods and technologies, more and more attention has been paid to research of marine controllable source electromagnetic inversion. How to develop a fast and practical marine controllable source electromagnetic inversion method is one of the current research focuses and hot spots. So it is necessary for the development of marine controllable source electromagnetic to study the 2D fast, reasonable and effective inversion, which has important theoretical and practical significance. In this paper, the traditional Gauss-Newton inversion is carried out on the basis of the adaptive finite element forward simulation, and the simulation data and the Occam inversion results are systematically analyzed and compared. The classical model inversion results show that both Occam inversion and Gauss-Newton inversion can invert the anomalies well and the inversion results have their own advantages and disadvantages. Occam inversion RMS is low, the result is smoother, the convergence is stable; the Gauss-Newton inversion time is short, and the number of iterations is small. This is helpful for the later marine controllable source electromagnetic method data interpretation and application.
{"title":"Two-dimensional Gauss-Newton inversion based on marine CSEM data","authors":"T. Guo, Zhenwei Guo, Y. Liu, Jianxin Liu","doi":"10.1109/ICGMRS55602.2022.9849370","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849370","url":null,"abstract":"With development and continuous improvement of methods and technologies, more and more attention has been paid to research of marine controllable source electromagnetic inversion. How to develop a fast and practical marine controllable source electromagnetic inversion method is one of the current research focuses and hot spots. So it is necessary for the development of marine controllable source electromagnetic to study the 2D fast, reasonable and effective inversion, which has important theoretical and practical significance. In this paper, the traditional Gauss-Newton inversion is carried out on the basis of the adaptive finite element forward simulation, and the simulation data and the Occam inversion results are systematically analyzed and compared. The classical model inversion results show that both Occam inversion and Gauss-Newton inversion can invert the anomalies well and the inversion results have their own advantages and disadvantages. Occam inversion RMS is low, the result is smoother, the convergence is stable; the Gauss-Newton inversion time is short, and the number of iterations is small. This is helpful for the later marine controllable source electromagnetic method data interpretation and application.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132464192","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849361
Xiaotong Lu, Junhao Wan, Yuan-hua Zhong, Ji Wang
UAV cluster mission planning is an optimization problem with multiple objectives, strong coupling, and constraints. Aiming at the task planning problem of hybrid dynamic target cooperative search in UAV cluster detection, this paper introduces the tracking curves of Dubins to study the complex scenes of multiple target types. We study the Dubins tracking curve, and the Dubins tracking method is proposed to solve the search-tracking multi-task problem in UAV cluster detection. Experimental results show that ten UAV dynamics constraints and tracking distance limitations can be satisfied by adding Dubins tracking curves.
{"title":"Dual Redundant UAV Path Planning and Mission Analysis Based on Dubins Curves","authors":"Xiaotong Lu, Junhao Wan, Yuan-hua Zhong, Ji Wang","doi":"10.1109/ICGMRS55602.2022.9849361","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849361","url":null,"abstract":"UAV cluster mission planning is an optimization problem with multiple objectives, strong coupling, and constraints. Aiming at the task planning problem of hybrid dynamic target cooperative search in UAV cluster detection, this paper introduces the tracking curves of Dubins to study the complex scenes of multiple target types. We study the Dubins tracking curve, and the Dubins tracking method is proposed to solve the search-tracking multi-task problem in UAV cluster detection. Experimental results show that ten UAV dynamics constraints and tracking distance limitations can be satisfied by adding Dubins tracking curves.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130717574","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 : 2022-04-22DOI: 10.1109/ICGMRS55602.2022.9849297
Qian Cheng, Zhongdong Wu, Jie Min
Foggy weather can have a serious impact on production and life. The existing monitoring technology has problems such as high cost, difficult maintenance and low spatial and temporal resolution. In this paper, we propose a method for foggy weather monitoring using radio signals based on the principle that foggy weather affects radio signals. Combining wireless communication with deep learning, an improved deep residual shrinkage network is used to classify and identify the radio signals collected in different environments. First, radio signals from four different environments are collected, then, a wide convolutional layer is added to the deep residual shrinkage network, and then a CBAM attention mechanism is introduced after the wide convolutional layer to extract features more accurately. The acquired signals are fed into the improved deep residual shrinkage network for training. The final classification result reached 92.29%, which is a 6.11% improvement compared to the conventional ResNet50 algorithm. The results show the high potential of the method to monitor foggy weather more accurately.
{"title":"Foggy Weather Monitoring Method Based on Improved Deep Residual Shrinkage Network and Radio Signal","authors":"Qian Cheng, Zhongdong Wu, Jie Min","doi":"10.1109/ICGMRS55602.2022.9849297","DOIUrl":"https://doi.org/10.1109/ICGMRS55602.2022.9849297","url":null,"abstract":"Foggy weather can have a serious impact on production and life. The existing monitoring technology has problems such as high cost, difficult maintenance and low spatial and temporal resolution. In this paper, we propose a method for foggy weather monitoring using radio signals based on the principle that foggy weather affects radio signals. Combining wireless communication with deep learning, an improved deep residual shrinkage network is used to classify and identify the radio signals collected in different environments. First, radio signals from four different environments are collected, then, a wide convolutional layer is added to the deep residual shrinkage network, and then a CBAM attention mechanism is introduced after the wide convolutional layer to extract features more accurately. The acquired signals are fed into the improved deep residual shrinkage network for training. The final classification result reached 92.29%, which is a 6.11% improvement compared to the conventional ResNet50 algorithm. The results show the high potential of the method to monitor foggy weather more accurately.","PeriodicalId":129909,"journal":{"name":"2022 3rd International Conference on Geology, Mapping and Remote Sensing (ICGMRS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132658943","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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