China Symposium on Remote Sensing最新文献

Impacts of different transformation models on remote sensing image registration accuracy based on implicit similarity 基于隐式相似度的不同变换模型对遥感图像配准精度的影响

China Symposium on Remote Sensing Pub Date : 2015-08-06 DOI: 10.1117/12.2204788

Q. Ye, Yahui Yao, Popo Gui, Cuifang Ai

{"title":"Impacts of different transformation models on remote sensing image registration accuracy based on implicit similarity","authors":"Q. Ye, Yahui Yao, Popo Gui, Cuifang Ai","doi":"10.1117/12.2204788","DOIUrl":"https://doi.org/10.1117/12.2204788","url":null,"abstract":"How the different transformation models take effects on the registration accuracy based-on implicit similarity between the remote sensing images is the key point of this paper. For registration between SAR and optical imagery, analyze the imaging characteristic of push-broom optical satellite image and SAR image according to their imaging models; study the impacts taken by terrain fluctuation and different transformation models. The DEM and image pairs are simulated in the experiment, the results show: in region of bigger relief, the larger the registration image size, the greater impacts are taken by different transformation models on registration accuracy. Considering the polynomial transformation model leads to the low searching efficiency, affine transformation model regards as the best model for registration, but it has low accuracy and just applies to small images(such as 200x200). For large image (such as 800x800), 8-parameters transformation model is the best choice (balance accuracy and efficiency), but adding the parameters of transformation model (such as 12-parameters) again cannot significantly improve the registration accuracy.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115196677","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}

引用次数: 1

Speed-up matching method with navigation data for UAV remote sensing images of coastal region 海岸带无人机遥感影像导航数据加速匹配方法

China Symposium on Remote Sensing Pub Date : 2015-08-06 DOI: 10.1117/12.2204960

Yi Zhang, G. Jiang, Y. Di

引用次数: 4

Research on geometric rectification of the Large FOV Linear Array Whiskbroom Image 大视场线阵扫帚图像几何校正研究

China Symposium on Remote Sensing Pub Date : 2015-08-06 DOI: 10.1117/12.2204876

Dianjian Liu, Hui Liu, Hao Dong, Xiao-bo Liu

引用次数: 0

On-orbit geometric calibration and validation of Optical-1 HR Optical-1 HR在轨几何定标与验证

China Symposium on Remote Sensing Pub Date : 2015-08-06 DOI: 10.1117/12.2204721

Yong-hua Jiang, Guo Zhang, Wen-chao Huang, X. Qin

引用次数: 0

The simulation of infrared point target detection based on bidirectional oversampling 基于双向过采样的红外点目标检测仿真

China Symposium on Remote Sensing Pub Date : 2015-08-06 DOI: 10.1117/12.2205149

Xuanfu Da, Feng Zhou, Linfang Lai

引用次数: 0

Research on optimal path planning algorithm of task-oriented optical remote sensing satellites 面向任务的光学遥感卫星最优路径规划算法研究

China Symposium on Remote Sensing Pub Date : 2015-08-06 DOI: 10.1117/12.2204736

Yunhe Liu, Shengli Xu, Fengjing Liu, Jingpeng Yuan

{"title":"Research on optimal path planning algorithm of task-oriented optical remote sensing satellites","authors":"Yunhe Liu, Shengli Xu, Fengjing Liu, Jingpeng Yuan","doi":"10.1117/12.2204736","DOIUrl":"https://doi.org/10.1117/12.2204736","url":null,"abstract":"GEO task-oriented optical remote sensing satellite, is very suitable for long-term continuous monitoring and quick access to imaging. With the development of high resolution optical payload technology and satellite attitude control technology, GEO optical remote sensing satellites will become an important developing trend for aerospace remote sensing satellite in the near future. In the paper, we focused on GEO optical remote sensing satellite plane array stare imaging characteristics and real-time leading mission of earth observation mode, targeted on satisfying needs of the user with the minimum cost of maneuver, and put forward the optimal path planning algorithm centered on transformation from geographic coordinate space to Field of plane, and finally reduced the burden of the control system. In this algorithm, bounded irregular closed area on the ground would be transformed based on coordinate transformation relations in to the reference plane for field of the satellite payload, and then using the branch and bound method to search for feasible solutions, cutting off the non-feasible solution in the solution space based on pruning strategy; and finally trimming some suboptimal feasible solutions based on the optimization index until a feasible solution for the global optimum. Simulation and visualization presentation software testing results verified the feasibility and effectiveness of the strategy.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114263098","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}

引用次数: 0

The cross time and space features in remote sensing applications 遥感应用中的跨时空特征

China Symposium on Remote Sensing Pub Date : 2015-08-06 DOI: 10.1117/12.2204738

J. X. Lu, W. Song, W. Qu, J. Fu, Z. Pang

引用次数: 2

Detection of fault structures with airborne LiDAR point-cloud data 基于机载激光雷达点云数据的断层结构检测

China Symposium on Remote Sensing Pub Date : 2015-08-06 DOI: 10.1117/12.2204924

Jie Chen, Lei Du

{"title":"Detection of fault structures with airborne LiDAR point-cloud data","authors":"Jie Chen, Lei Du","doi":"10.1117/12.2204924","DOIUrl":"https://doi.org/10.1117/12.2204924","url":null,"abstract":"The airborne LiDAR (Light Detection And Ranging) technology is a new type of aerial earth observation method which can be used to produce high-precision DEM (Digital Elevation Model) quickly and reflect ground surface information directly. Fault structure is one of the key forms of crustal movement, and its quantitative description is the key to the research of crustal movement. The airborne LiDAR point-cloud data is used to detect and extract fault structures automatically based on linear extension, elevation mutation and slope abnormal characteristics. Firstly, the LiDAR point-cloud data is processed to filter out buildings, vegetation and other non-surface information with the TIN (Triangulated Irregular Network) filtering method and Burman model calibration method. TIN and DEM are made from the processed data sequentially. Secondly, linear fault structures are extracted based on dual-threshold method. Finally, high-precision DOM (Digital Orthophoto Map) and other geological knowledge are used to check the accuracy of fault structure extraction. An experiment is carried out in Beiya Village of Yunnan Province, China. With LiDAR technology, results reveal that: the airborne LiDAR point-cloud data can be utilized to extract linear fault structures accurately and automatically, measure information such as height, width and slope of fault structures with high precision, and detect faults in areas with vegetation coverage effectively.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131260765","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}

引用次数: 1

Study on light weight design of truss structures of spacecrafts 航天器桁架结构轻量化设计研究

China Symposium on Remote Sensing Pub Date : 2015-08-06 DOI: 10.1117/12.2204744

Fuming Zeng, Jianzhong Yang, Jian Wang

引用次数: 1

An integrated compact airborne multispectral imaging system using embedded computer 基于嵌入式计算机的集成型机载多光谱成像系统

China Symposium on Remote Sensing Pub Date : 2015-08-06 DOI: 10.1117/12.2204805

Yue Zhang, Li Wang, Xuguo Zhang

{"title":"An integrated compact airborne multispectral imaging system using embedded computer","authors":"Yue Zhang, Li Wang, Xuguo Zhang","doi":"10.1117/12.2204805","DOIUrl":"https://doi.org/10.1117/12.2204805","url":null,"abstract":"An integrated compact airborne multispectral imaging system using embedded computer based control system was developed for small aircraft multispectral imaging application. The multispectral imaging system integrates CMOS camera, filter wheel with eight filters, two-axis stabilized platform, miniature POS (position and orientation system) and embedded computer. The embedded computer has excellent universality and expansibility, and has advantages in volume and weight for airborne platform, so it can meet the requirements of control system of the integrated airborne multispectral imaging system. The embedded computer controls the camera parameters setting, filter wheel and stabilized platform working, image and POS data acquisition, and stores the image and data. The airborne multispectral imaging system can connect peripheral device use the ports of the embedded computer, so the system operation and the stored image data management are easy. This airborne multispectral imaging system has advantages of small volume, multi-function, and good expansibility. The imaging experiment results show that this system has potential for multispectral remote sensing in applications such as resource investigation and environmental monitoring.","PeriodicalId":340728,"journal":{"name":"China Symposium on Remote Sensing","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128435998","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}

引用次数: 1