“高分二号”卫星多光谱与全色影像配准策略
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摘要
"高分二号"(GF-2)卫星能够提供空间分辨率优于1m的全色影像和优于4m的多光谱影像,可以作为高精度土地基础数据采集的影像数据源之一。针对多光谱与全色影像配准精度对后续数据处理和应用影响较大的问题,文章分别采用原始多光谱与全色影像的自动配准和纠正后配准两种方法,对比不同策略的配准精度,结合土地资源遥感调查监测的相关技术规程,形成GF-2卫星多光谱与全色影像配准策略。对10景山区和平原区完整景GF-2卫星影像进行了试验,结果表明,原始多光谱与全色影像自动配准方法不仅能保证配准精度,而且能缩短影像预处理完成时间,是规模化数据应用中较好的配准策略。
Panchromatic image with resolution better than 1 meter and multispectral image with resolution better than 4 meters simultaneously provided by GF-2 satellite, could be a potential data source for high precision land information acquisition. Aiming at the large effect of multispectral and panchromatic image registration precision on follow-up image processing and application, this article presents two registration methods, which are automatic registration of original images and registration after image correction, and draws up a registration strategy after analyzing their precision in consideration technical regulations of land remote sensing investigation and monitoring. Using ten pairs of multispectral and panchromatic image, which cover plain and mountain areas, the experiments show that, automatic registration of original images is a better strategy for large scale data application, not only for ensuring its high precision but also for reducing data-process time of the whole workflow.
Panchromatic image with resolution better than 1 meter and multispectral image with resolution better than 4 meters simultaneously provided by GF-2 satellite, could be a potential data source for high precision land information acquisition. Aiming at the large effect of multispectral and panchromatic image registration precision on follow-up image processing and application, this article presents two registration methods, which are automatic registration of original images and registration after image correction, and draws up a registration strategy after analyzing their precision in consideration technical regulations of land remote sensing investigation and monitoring. Using ten pairs of multispectral and panchromatic image, which cover plain and mountain areas, the experiments show that, automatic registration of original images is a better strategy for large scale data application, not only for ensuring its high precision but also for reducing data-process time of the whole workflow.
引文
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[15]张过,李扬,祝小勇,等.有理函数模型在光学卫星影像几何纠正中的应用[J].航天返回与遥感,2010,31(4):51-57.ZHANG Guo,LI Yang,ZHU Xiaoyong,et al.Application of RFM in Geometric Rectification of Optical Satellite Image[J].Spacecraft Recovery&Remote Sensing,2010,31(4):51-57.(in Chinese)
[2]王洪海,徐建艳,龙小祥.一种卫星多光谱图像亚像元波段配准精度自动评价方法[J].航天返回与遥感,2010,31(3):55-63.WANG Honghai,XU Jianyan,LONG Xiaoxiang.An Automated Evaluation Method of Sub-pixel Band-to-band Registration Accuracy for Satellite Multispectral Image[J].Spacecraft Recovery&Remote Sensing,2010,31(3):55-63.(in Chinese)
[3]朱近,司美玲,夏德深,等.用局部灰度极值方法进行多光谱图像配准算法研究[J].航天返回与遥感,2010,31(5):32-37.ZHU Jin,SI Meiling,XIA Deshen,et al.Research on Multi-spectral Image Registration with Local Gray Extremism Method[J].Spacecraft Recovery&Remote Sensing,2010,31(5):32-37.(in Chinese)
[4]张国瑞.多光谱多镜头CCD相机的光学配准[J].航天返回与遥感,2001,22(1):51-54.ZHANG Guorui.Optical Registration for Multi-spectral and Multi-lens CCD Camera[J].Spacecraft Recovery&Remote Sensing,2001,22(1):51-54.(in Chinese)
[5]郭悦,杨桦.多光谱CCD相机的光学配准[J].航天返回与遥感,2003,24(1):29-32.GUO Yue,YANG Hua.Optical Registration of the Multi-spectral CCD Camera[J].Spacecraft Recovery&Remote Sensing,2003,24(1):29-32.(in Chinese)
[6]王瑞瑞,马建文,陈雪.多源遥感影像自动配准技术的研究进展[J].遥感信息,2011(3):121-127.WANG Ruirui,MA Jianwen,CHEN Xue.The Research State of the Automatic Registration Techniques of Multi-sensor Remote Sensing Imagery[J].Remote Sensing Information,2011(3):121-127.(in Chinese)
[7]王瑞瑞,马建文.多尺度、多角度异源遥感影像配准方法研究[J].计算机工程与应用,2012,48(30):5-9.WANG Ruirui,MA Jianwen.Registration Method for Heterogeneous Remote Sensing Images with Multi-scale and Multi-angle[J].Computer Engineering and Applications,2012,48(30):5-9.(in Chinese)
[8]田上成,张乔,刘保成,等.基于传感器几何特性和图像特征的影像配准方法[J].航天返回与遥感,2013,34(5):85-89.TIAN Shangcheng,ZHANG Qiao,LIU Baocheng,et al.An Improved Matching Method for Image Based on Sensor Geometric Features and Image Features[J].Spacecraft Recovery&Remote Sensing,2013,34(5):85-89.(in Chinese)
[9]中华人民共和国国土资源部.TD/T 1014-2007.第二次全国土地利用调查技术规程[S].北京:中华人民共和国国土资源部,2007.MLR of PRC.TD/T 1014-2007.Technical Regulation for the Second National Land-use Investigation[S].Beijing:MLR of China.2007(in Chinese)
[10]贠小苏.第二次全国土地调查培训教材[M].北京:中国农业出版社,2007.YUN Xiaosu.The Second National Land Survey Training Materials[M].Beijing:Chinese Agriculture Press,2007.(in Chinese)
[11]高延利,朱留华,王广华,等.TD-1010土地利用动态遥感监测规程[S].北京:中华人民共和国国土资源部,1999.GAO Yanli,ZHU Liuhua,WANG Guanghua,et al.TD-1010 Regulation of Land-use Dynamic Remote Sensing Monitoring[S].Beijing:MLR of China,1999.(in Chinese)
[12]万里红,施艳丽,杨武年.基于Auto Sync的快速影像配准研究[J].测绘,2010,33(3):103-105.WAN Lihong,SHI Yanli,YANG Wunian.Research of Quick Image Registration Based on Auto Sync[J].Surveying and Mapping,2010,33(3):103-105.(in Chinese)
[13]张过.缺少控制点的高分辨率卫星遥感影像几何纠正[D].武汉:武汉大学,2005.ZHANG Guo.Rectification for High Resolution Remote Sensing Image under Lack of Ground Control Points[D].Wuhan:Wuhan University,2005.(in Chinese)
[14]王忠武,郝伟,刘顺喜,等.莱索托地区北京一号全色影像几何校正方法研究[J].中国土地科学,2012,26(9):78-82.WANG Zhongwu,HAO Wei,LIU Shunxi.Research on Geometric Correction Method for the BJ-1 Panchromatic Image Covering Kingdom of Lesotho[J].China Land Sciences,2012,26(9):78-82.(in Chinese)
[15]张过,李扬,祝小勇,等.有理函数模型在光学卫星影像几何纠正中的应用[J].航天返回与遥感,2010,31(4):51-57.ZHANG Guo,LI Yang,ZHU Xiaoyong,et al.Application of RFM in Geometric Rectification of Optical Satellite Image[J].Spacecraft Recovery&Remote Sensing,2010,31(4):51-57.(in Chinese)