Remote Sensing Images and DEM Registration Based on Illumination Model
HU Yong-xiu 1， LI hui 2,3， SHI Xiao-chun 4
(1.Land and Resources Technology Center of Guangdong Province， Guangzhou 510075， China； 2.Geography Department, China University of Geoscience, Wuhan 430074, China； 3.Three Gorges Research Center for Geohazards, Ministry of Education, China University of Geosciences, Wuhan 430074, China； 4.Institute of Surveying & Mapping, Department of Land & Resources of Guangdong Province, Guangzhou 510500, China)
Abstract：Registration between remote sensing images and DEM data is difficult because it is hard to find the Ground Control Points (GCPs) between the two images. In this paper, an illumination model was introduced and served as a proxy in the image registration to increase the registration accuracy. The aspect and slope were computed for each pixel of the image based on DEM data. The solar elevation angle and azimuth were obtained from the header file of the remote sensing image. Based on these parameters, the authors constructed the terrain illumination model based on the Lambert reflectance model, which displays very similar texture to the remote sensing image. Thus, the GCPs can be easily identified in the two images. This method was tested by using sub ETM+ image and DEM in Guangdong province. The result shows that the total RMSE of this method is 13.373 m, which is less than one pixel. This method is effective in the registration of remote sensing image and DEM, especially in mountain areas.
胡勇修, 李辉, 石晓春. 基于光照模型的遥感图像与DEM配准方法研究[J]. 国土资源遥感, 2011, 23(1): 83-86.
HU Yong-Xiu, LI Hui, SHI Xiao-Chun. Remote Sensing Images and DEM Registration Based on Illumination Model. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(1): 83-86.
［1］吕金建,文贡坚,李德仁,等.一种新的基于空间关系的特征匹配方法［J］.测绘学报,2008,37(3):367-373.［2］文贡坚,吕金建,王继阳.基于特征的高精度自动图像配准方法［J］.软件学报,2008,19(9):2293-2301.［3］Zitova B,Flusser J.Image Registration Methods:A Survey［J］.Image Vision Computing,2003,21(11):977-1000.［4］邓熠,李智勇,粟毅.仿射不变特征提取算法在遥感影像配准中的应用［J］.中国图象图形学报,2009，14(4):615-621.［5］禄丰年.多源遥感影像配准技术分析［J］.测绘科学技术学报,2007,24(4):251-254.［6］尹聪颖,焦斌亮.SAR与TM图像自动配准算法研究［J］.电子技术（上海）,2009,8:33-34.［7］朱冰莲,田学隆,宋维杰,基于人工免疫系统的医学图像配准［J］.仪器仪表学报,2009,7:1416-1419.［8］陈蕾,邓孺孺,彭小鹃.TM影像与DEM的地形光照模型配准法研究——以广州市为例［J］.热带地理,2008,28(3):223-227.［9］李先华.遥感信息的地形影响与改正［J］.测绘学报,1986,15(2):102-109．［10］Riano D,Chuvieco E,Salas J,et al.Assessment of Different Topographic Corrections in Landsat-TM Data for Mapping Vegetation Types ［J］.IEEE Transactions on Geoscience and Remote Sensing,2003,41:1056-1061.［11］NASA and METI.Aster GDEM［EB/OL］.［2010-04-30］.http://www.gdem.aster.ersdac.or.jp.［12］CAS,迄今最完整的全球地形数据-ASTER GDEM［EB/OL］.［2010-04-30］.http://datamirror.csdb.cn.
2011, Vol. 23 
