敏捷卫星同轨多条带成像拼接重叠像元数阈值分析
|
摘要
针对敏捷成像中的多条带拼接成像模型,对条带图像的拼接重叠度进行仿真分析。建立多条带拼接成像的任务模型和几何退化模型,提出重叠区域宽度阈值的判别准则。针对星下点条带,分析不同场景类型遥感图像的重叠区域宽度阈值,探究了地面分辨率变化对重叠区域宽度阈值的影响。针对敏捷条带,分析了俯仰、横滚等敏捷特性对于重叠阈值的影响。仿真结果表明,在0.46 m地面分辨率下,6类场景类型重叠宽度阈值均在28 pixels以上,其中军港机场、海岛阈值较大,超过31 pixels。阈值统计符合正态分布的3σ原则,证明了阈值求解方式的可信度。星下点成像时地面分辨率变化对像面重叠像素阈值无太大影响,但对地面实际重叠宽度阈值影响较大。而敏捷条带成像时,卫星的俯仰和横滚将会增大条带的重叠宽度阈值,几何变形对阈值的影响超过星下点时地面分辨率的变化。通过对条带拼接重叠度的仿真分析,为敏捷卫星的高分辨率光学成像任务规划提供了有意义的参考。
This paper shows some simulation analysis on stitching overlap threshold of strip images for multi-strip stitching model in agile remote sensing imaging. The mission model and geometric degradation model are proposed for multi-strip stitching imaging, and the criterion of overlap region width threshold is presented. Against the nadir strip, we analyze the overlap threshold of different scene types and explore the threshold variation affected by the changes of ground sample distance(GSD). For the agile strip, the effect of pitch angle and roll angle on overlap threshold is analyzed. The simulation result shows that, at 0.46-meter GSD value, the overlap threshold is more than 28 pixels for 6 scene types, and it is even beyond 31 pixels for the airport and island. The statistical characteristics of threshold perfect match the 3σ guidelines in normal distribution, which has proved the reliability of the solution of overlap threshold. In nadir imaging, GSD has little effect on the overlap pixel threshold at image plane, but has a great effect on overlap distance threshold at ground plane. In agile strip, with larger pitch angle and roll angle, the overlap threshold will increase significantly, which means that the geometric degradation is more powerful to the threshold than the GSD variation. By analyzing the stitching overlap threshold of the strips, we give a meaningful suggestion to the mission planning of high resolution remote sensing imaging by agile satellite.
This paper shows some simulation analysis on stitching overlap threshold of strip images for multi-strip stitching model in agile remote sensing imaging. The mission model and geometric degradation model are proposed for multi-strip stitching imaging, and the criterion of overlap region width threshold is presented. Against the nadir strip, we analyze the overlap threshold of different scene types and explore the threshold variation affected by the changes of ground sample distance(GSD). For the agile strip, the effect of pitch angle and roll angle on overlap threshold is analyzed. The simulation result shows that, at 0.46-meter GSD value, the overlap threshold is more than 28 pixels for 6 scene types, and it is even beyond 31 pixels for the airport and island. The statistical characteristics of threshold perfect match the 3σ guidelines in normal distribution, which has proved the reliability of the solution of overlap threshold. In nadir imaging, GSD has little effect on the overlap pixel threshold at image plane, but has a great effect on overlap distance threshold at ground plane. In agile strip, with larger pitch angle and roll angle, the overlap threshold will increase significantly, which means that the geometric degradation is more powerful to the threshold than the GSD variation. By analyzing the stitching overlap threshold of the strips, we give a meaningful suggestion to the mission planning of high resolution remote sensing imaging by agile satellite.
引文
1 Zhang Xinwei,Dai Jun,Liu Fuqiang.Research on working mode of remote sensing satellite with agile attitude control[J].Spacecraft Engineering,2011,20(4):32-38.张新伟,戴君,刘付强.敏捷遥感卫星工作模式研究[J].航天器工程,2011,20(4):32-38.
2 Han Changyuan.Recent earth imaging commercial satellites with high resolutions[J].Chinese Journal of Optics and Applied Optics,2010,3(3):201-208.韩昌元.近代高分辨地球成像商业卫星[J].中国光学与应用光学,2010,3(3):201-208.
3 Ge Yujun,Zhao Jian,Yang Fang.Review of high resolution optical remote sensing satellite[J].Space International,2013(5):2-8.葛玉君,赵键,杨芳.高分辨率光学遥感卫星平台技术综述[J].国际太空,2013(5):2-8.
4 Jacobsen K.High resolution satellite imaging systems-an overview[J].Photogrammetrie-Fernerkundung-Geoinformation,2005,6:487-496.
5 Poli D,Toutin T.Review of developments in geometric modelling for high resolution satellite pushbroom sensors[J].The Photogrammetric Record,2012,27(137):58-73.
6 Lemoine G,Bielski C M,Syryczynski J.Fast surface height determination using multi-angular World View-2 ortho ready urban scenes[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2012,5(1):80-88.
7 de Lussy F,Kubik P,Greslou D,et al.Pleiades-HR image system products and quality,pleiades-HR image system products and geometric accuracy[C]//Proceedings International Society for Photogrammetry and Remote Sensing International Conference,Hannover,2005:17-20.
8 Cheng Yufeng,Jin Shuying,Wang Mi,et al.An high accuracy image mosaicking approach of optical remote sensing satellite for multi-camera system[J].Acta Optica Sinica,2017,37(8):0828003.程宇峰,金淑英,王密,等.一种光学遥感卫星多相机成像系统的高精度影像拼接方法[J].光学学报,2017,37(8):0828003.
9 Yu Jing,Xi Jinjun,Yu Longjiang,et al.Study of one-orbit multi-stripes splicing imaging for agile satellite[J].Spacecraft Engineering,2015,24(2):27-34.余婧,喜进军,于龙江,等.敏捷卫星同轨多条带拼幅成像模式研究[J].航天器工程,2015,24(2):27-34.
10 Wang Yamin,Xu Wei,Jin Guang,et al.An attitude algorithm based on the band seamless splicing imaging for agile satellite[J].Optoelectronics Letters,2017,13(5):376-380.
11 Sun Tao,Long Hui,Liu Baocheng,et al.Application of side-oblique image-motion blur correction to Kuaizhou-1 agile optical images[J].Optics Express,2016,24(6):6665-6679.
12 Barazzetti L,Roncoroni F,Brumana R,et al.Georeferencing accuracy analysis of a single worldview-3 image collected over milan[M]//Halounova L,?afá?V,Toth C K,et al.XXIII ISPRSCongress,Commission I.2016:429-434.
13 Ge Yun,Jiang Shunliang,Ye Famao,et al.Remote sensing image retrieval based on the fusion of Bo VW and Gabor texture[J].Opto-Electronic Engineering,2016,43(2):76-81,88.葛芸,江顺亮,叶发茂,等.视觉词袋和Gabor纹理融合的遥感图像检索[J].光电工程,2016,43(2):76-81,88.
14 Lowe D G.Distinctive image features from scale-invariant keypoints[J].International Journal of Computer Vision,2004,60(2):91-110.
15 Fischler M A,Bolles R C.Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J].Communications of the ACM,1981,24(6):381-395..
2 Han Changyuan.Recent earth imaging commercial satellites with high resolutions[J].Chinese Journal of Optics and Applied Optics,2010,3(3):201-208.韩昌元.近代高分辨地球成像商业卫星[J].中国光学与应用光学,2010,3(3):201-208.
3 Ge Yujun,Zhao Jian,Yang Fang.Review of high resolution optical remote sensing satellite[J].Space International,2013(5):2-8.葛玉君,赵键,杨芳.高分辨率光学遥感卫星平台技术综述[J].国际太空,2013(5):2-8.
4 Jacobsen K.High resolution satellite imaging systems-an overview[J].Photogrammetrie-Fernerkundung-Geoinformation,2005,6:487-496.
5 Poli D,Toutin T.Review of developments in geometric modelling for high resolution satellite pushbroom sensors[J].The Photogrammetric Record,2012,27(137):58-73.
6 Lemoine G,Bielski C M,Syryczynski J.Fast surface height determination using multi-angular World View-2 ortho ready urban scenes[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2012,5(1):80-88.
7 de Lussy F,Kubik P,Greslou D,et al.Pleiades-HR image system products and quality,pleiades-HR image system products and geometric accuracy[C]//Proceedings International Society for Photogrammetry and Remote Sensing International Conference,Hannover,2005:17-20.
8 Cheng Yufeng,Jin Shuying,Wang Mi,et al.An high accuracy image mosaicking approach of optical remote sensing satellite for multi-camera system[J].Acta Optica Sinica,2017,37(8):0828003.程宇峰,金淑英,王密,等.一种光学遥感卫星多相机成像系统的高精度影像拼接方法[J].光学学报,2017,37(8):0828003.
9 Yu Jing,Xi Jinjun,Yu Longjiang,et al.Study of one-orbit multi-stripes splicing imaging for agile satellite[J].Spacecraft Engineering,2015,24(2):27-34.余婧,喜进军,于龙江,等.敏捷卫星同轨多条带拼幅成像模式研究[J].航天器工程,2015,24(2):27-34.
10 Wang Yamin,Xu Wei,Jin Guang,et al.An attitude algorithm based on the band seamless splicing imaging for agile satellite[J].Optoelectronics Letters,2017,13(5):376-380.
11 Sun Tao,Long Hui,Liu Baocheng,et al.Application of side-oblique image-motion blur correction to Kuaizhou-1 agile optical images[J].Optics Express,2016,24(6):6665-6679.
12 Barazzetti L,Roncoroni F,Brumana R,et al.Georeferencing accuracy analysis of a single worldview-3 image collected over milan[M]//Halounova L,?afá?V,Toth C K,et al.XXIII ISPRSCongress,Commission I.2016:429-434.
13 Ge Yun,Jiang Shunliang,Ye Famao,et al.Remote sensing image retrieval based on the fusion of Bo VW and Gabor texture[J].Opto-Electronic Engineering,2016,43(2):76-81,88.葛芸,江顺亮,叶发茂,等.视觉词袋和Gabor纹理融合的遥感图像检索[J].光电工程,2016,43(2):76-81,88.
14 Lowe D G.Distinctive image features from scale-invariant keypoints[J].International Journal of Computer Vision,2004,60(2):91-110.
15 Fischler M A,Bolles R C.Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J].Communications of the ACM,1981,24(6):381-395..