期刊文献+

顾及扫描侧视角变化的高分辨率卫星遥感影像严格几何模型 被引量:10

A Rigorous Geometric Model Considering the Variety of Side Watch Angle for High-resolution Satellite Imagery
下载PDF
导出
摘要 根据遥感卫星传感器对地扫描成像过程中CCD线阵列侧视角匀速变化的机理,从理论上改进基于仿射变换的高分辨率卫星遥感影像严格几何处理模型,推导地物与影像间的正反算公式。经对一SPOT-5异轨立体像对的试验表明,利用改进的几何模型和视CCD线阵列侧视角为常数的仿射变换模型对立体影像进行几何处理,前者较后者的像点x坐标精度有一定的改善,物点的高程精度有所提高,平面精度两者基本一致。这说明成像过程中CCD线阵列侧视角的变化在高分辨率卫星遥感影像严格几何处理模型中是不可忽略的因素。 According to the mechanism of the side watch angle uniform variety during the imaging procedure using CCD line-scanner, the rigorous geometric model based on affine transformation for high-resolution satellite imagery is modified in this paper. Both the forward and backward formulas between object-space and image-space are presented. A stereo pair of SPOT-5 imagery acquired in across-track mode is selected and used. The empirical results have shown that the proposed geometric model, compared with the original model which considers the CCD line-scanner side watch angle as a constant, can improve the ;x-coordinate accuracy of image points, and can also raise the height accuracy of object space coordinates significantly while maintain the same level of the planimetric accuracy. This has shown that the side watch angle variety of CCD line-scanner during the process of imaging is a non-negligible factor in the rigorous geometric model for processing high-resolution satellite imagery.
出处 《测绘学报》 EI CSCD 北大核心 2009年第2期120-124,共5页 Acta Geodaetica et Cartographica Sinica
基金 国家973计划(2006CB701302) 国家创新研究群体科学基金(40721001)
关键词 高分辨率卫星遥感影像 仿射变换 严格几何模型 目标定位 high-resolution satellite imagery affine transformation rigorous geometric model target location
  • 相关文献

参考文献7

  • 1张永生,巩丹超,等.高分辨率遥感口星应用[M].北京:科学出版社,2004.
  • 2OKAMOTO A. Orientation Theory of CCD Line-scanner Images [J]. International Archives of Photogrammetry and Remote Sensing, 1988, 27(B3) :609-617.
  • 3ZHANG J Q, ZHANG Z X. Strict Geometric Model Based on Affine Transformation for Remote Sensing Image with High Resolution [J]. International Archives of Photogrammetry and Remote Sensing, 2002, 34(B3):309-312.
  • 4张剑清,张勇,程莹.基于新模型的高分辨率遥感影像光束法区域网平差[J].武汉大学学报(信息科学版),2005,30(8):659-663. 被引量:7
  • 5FRASER C S, YAMAKAWA T, HANLEY H B, et al. Geopositioning from High-resolution Satellite Imagery: Experiences with the Affine Sensor Orientation Model[A]. Proceedings of the IEEE International Geoseienee and Remote Sensing Symposium[C]. [s. l. ]: [s. n. ] ,2003.
  • 6FRASER C S, YAMAKAWA T. Insights into the Affine Model for High-resolution Satellite Sensor Orientation [J]. ISPRS Journal of Photogrammetry & Remote Sensing, 2004, 58(5 6):275-288.
  • 7胡安文,张祖勋.对高分辨率遥感影像基于仿射变换的严格几何模型的讨论[J].武汉大学学报(信息科学版),2006,31(2):104-107. 被引量:22

二级参考文献12

  • 1Zhang Jianqing,Zhang Zuxun.Strict Geometric Model Based on Affine Transformation for Remote Sensing Image with High Resolution[C].ISPRS-Commission Ⅲ Symposium,Garz,2002
  • 2Kratky V.Rigorous Photogrammetric Processing of SPOT Images at CCM Canada[J].ISPRS Journal of Photogrammetry and Remote Sensing,1989(44) :53-71
  • 3Kratky V.On-Line Aspects of Stereophotogram-metric Processing of SPOT Images[J].PE &RS,1989,55(3):311-316
  • 4Okamoto A.Orientation and Construction of Models:Mathematical Basis of the Orientation Problem of One-Dimensional Central-Perspective Photographs[J].PE&RS,1989,47(12):1 739-1 752
  • 5Okamoto A.Orientation Theory of CCD Line-Scanner Images[C].International Archives of ISPRS,Kyoto,1988
  • 6Okamoto A,Akamatsu S.Orientation Theory for Satellite CCD Line Scanner Imagery of Moun-tainous Terrain[C].International Archives of ISPRS,Washington D C,1992
  • 7Fraser C S, Hanley H B, Yamakawa T. 3D Positioning Accuracy of IKONOS Imagery. Photogrammetric Record,2002, 17 (99): 465~479
  • 8Fraser C S, Baltsavias E, Gruen A. Processing of IKONOS Imagery for Submeter 3D Positioning and Building Extraction. ISPRS Journal of Photogrammetry and Remote Sensing, 2002, 56 (3): 177~194.
  • 9Zhang J Q , Zheng S Y, Zhang Y. DTM Modelling from Remote Sensing Image with High Resolution. The 3rd International Symposium on Multi-Spectral Image Processing and Pattern Recognition, Beijing,2003.
  • 10Grodecki J. IKONOS Stereo Feature Extraction-RPC Approach. ASPRS Annual Conference, St. Louis,2001.

共引文献27

同被引文献86

引证文献10

二级引证文献47

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部