一种异源主被动遥感图像立体成像技术
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摘要
建立了一套异源主被动遥感立体成像处理的技术方法,通过CCD和SAR遥感器的几何模型构建精化,异源图像同名特征高精度自动匹配,以及在此基础上的主被动遥感立体成像模型合理化构建解算,全链路高程误差传播规律分析等关键技术的攻克,将成像机理完全不同的、具有共同重叠区域的多幅CCD和SAR遥感影像数据纳入到统一的立体构像处理体系中,充分发挥了CCD和SAR载荷的互补优势,摈弃了传统同源立体对数据源的苛刻限制。通过试验对该方法进行了验证。试验证明,利用星载3mSAR和1m CCD数据可获得平面20m以内、高程30m以内的立体定位精度。
Presently CCD and SAR are the two main space-borne remote sensor systems;most stereo imaging research focuses on the homology between stereoscopic pairs of these sensors.This paper presents a heterogeneous stereo imaging technology that can incorporate any CCD and SAR image with absolutely different mechanisms and certain overlapping area into a uniform stereo imaging process system.First,methods to refine geometry model parameters and pixel-precision to automatically match CCD and SAR images are briefly reviewed.Based on this review,a heterogeneous stereo imaging model was constructed and calculated.All link-road error propagation and accuracy assessment approaches were analyzed.These steps gave full play to the complementary advantages of CCD and SAR sensors without the harsh restrictions of traditional homology methods.At last,Experiments based on different combination of imaging data were performed to ensure that our scheme can be reliably applied to stereo imaging applications over any target area.With the input of 3m SAR and 1m CCD images,20m-plane and 30m-vertical precision results can be achieved using the technology proposed in this paper.
Presently CCD and SAR are the two main space-borne remote sensor systems;most stereo imaging research focuses on the homology between stereoscopic pairs of these sensors.This paper presents a heterogeneous stereo imaging technology that can incorporate any CCD and SAR image with absolutely different mechanisms and certain overlapping area into a uniform stereo imaging process system.First,methods to refine geometry model parameters and pixel-precision to automatically match CCD and SAR images are briefly reviewed.Based on this review,a heterogeneous stereo imaging model was constructed and calculated.All link-road error propagation and accuracy assessment approaches were analyzed.These steps gave full play to the complementary advantages of CCD and SAR sensors without the harsh restrictions of traditional homology methods.At last,Experiments based on different combination of imaging data were performed to ensure that our scheme can be reliably applied to stereo imaging applications over any target area.With the input of 3m SAR and 1m CCD images,20m-plane and 30m-vertical precision results can be achieved using the technology proposed in this paper.
引文
[1]Zhang Yongjun.Orientation of Remote Sensing Image Pairs from Different Orbits[J].Geomatics and Information Science of Wuhan University,2003,28(5):521-524(张永军.异轨遥感立体像对外方位元素的求解算法[J].武汉大学学报·信息科学版,2003,28(5):521-524)
[2]Edwards E.Evaluation of Space Intersection Strategy for Use with Stereoscopic SAR Imagery over Developing Countries[M].Austria:Salzburg,2004
[3]Song S,Sohn G.An Efficient 3DPositioning Method from Satellite Synthetic Aperture Radar Images[M].Berlin:Springer,2006
[4]Liu Jun.High Precision Stereo Positioning of IKONOS Satellite Images Based on RPC Model[J].Bulletin of Surveying and Mapping,2004,9:1-4(刘军.基于RPC模型的IKONOS卫星影像高精度立体定位[J].测绘通报,2004,9:1-4)
[5]Raggam J.Mathematical Aspects of Multi-sensor Stereo Mapping[C].IGARSS,Greenbelt,Maryland,1990
[6]Toutin T.Stereo-mapping with SPOT-P and ERS-1SAR Images[J].International Journal of Remote Sensing,2000,21(8):1 657-1 674
[7]Jordi I.On the Possibility of Automatic Multisensor Image Registration[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(10):2 104-2 120
[8]Xing Shuai.Combined Stereo Location Among Multi-sensor Remote Sensing Images[J].Geomatics and Information Science of Wuhan University,2009,34(5):522-526(邢帅.多源遥感影像“复合式”立体定位的研究[J].武汉大学学报·信息科学版,2009,34(5):522-526)
[9]Peng Wen.Research on Some Key Techniques in Medical Image Registration Based on Features[D].Hangzhou:Zhejiang University,2007(彭文.基于特征的医学图像配准中若干关键技术的研究[D].杭州:浙江大学,2007)
[10]Wang Lei.Feature-based Automatic Registration for SAR and Optical Remote Sensing Images[J].Journal of Harbin Institute of Technology,2005,37(1):22-25(王磊.基于特征的SAR图像与光学图像自动配准[J].哈尔滨工业大学学报,2005,37(1):22-25)
[11]Johnson H,Consistent G E.Landmark and Iintensity-based Image Registration[J].IEEE Transactions on Medical Imaging,2002,21(5):450-461
[2]Edwards E.Evaluation of Space Intersection Strategy for Use with Stereoscopic SAR Imagery over Developing Countries[M].Austria:Salzburg,2004
[3]Song S,Sohn G.An Efficient 3DPositioning Method from Satellite Synthetic Aperture Radar Images[M].Berlin:Springer,2006
[4]Liu Jun.High Precision Stereo Positioning of IKONOS Satellite Images Based on RPC Model[J].Bulletin of Surveying and Mapping,2004,9:1-4(刘军.基于RPC模型的IKONOS卫星影像高精度立体定位[J].测绘通报,2004,9:1-4)
[5]Raggam J.Mathematical Aspects of Multi-sensor Stereo Mapping[C].IGARSS,Greenbelt,Maryland,1990
[6]Toutin T.Stereo-mapping with SPOT-P and ERS-1SAR Images[J].International Journal of Remote Sensing,2000,21(8):1 657-1 674
[7]Jordi I.On the Possibility of Automatic Multisensor Image Registration[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(10):2 104-2 120
[8]Xing Shuai.Combined Stereo Location Among Multi-sensor Remote Sensing Images[J].Geomatics and Information Science of Wuhan University,2009,34(5):522-526(邢帅.多源遥感影像“复合式”立体定位的研究[J].武汉大学学报·信息科学版,2009,34(5):522-526)
[9]Peng Wen.Research on Some Key Techniques in Medical Image Registration Based on Features[D].Hangzhou:Zhejiang University,2007(彭文.基于特征的医学图像配准中若干关键技术的研究[D].杭州:浙江大学,2007)
[10]Wang Lei.Feature-based Automatic Registration for SAR and Optical Remote Sensing Images[J].Journal of Harbin Institute of Technology,2005,37(1):22-25(王磊.基于特征的SAR图像与光学图像自动配准[J].哈尔滨工业大学学报,2005,37(1):22-25)
[11]Johnson H,Consistent G E.Landmark and Iintensity-based Image Registration[J].IEEE Transactions on Medical Imaging,2002,21(5):450-461