Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W19, 319-324, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-319-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
10 Sep 2012
TERRAIN CORRECTION OF POLARIMETRIC SAR DATA AND ITS APPLICATION IN MAPPING MOUNTAIN GLACIER FACIES WITH RADARSAT-2 SAR
B. Tian1, Z. Li1, and Y. Zhu2,1 1Center for Earth Observation and Digital Earth Chinese Academy of Sciences, No.9 Dengzhuang South Road, Haidian District, Beijing 100094, China
2Graduate University of Chinese Academy of Sciences, China
Keywords: Polarization, SAR, Orthorectification, RADARSAT-2, Classification, Glaciology Abstract. Synthetic Aperture Radar (SAR) data can be difficult to interpret over glacierized terrain, especially in areas of high relief where most of the smaller glaciers of the world are found. The two primary objectives of this paper are to correct the topographically induce distortions inherent in SAR image of rugged terrain and to map glacier facies in the corrected polarimetric (PolSAR) image. Methods for terrain correction of PolSAR developed in this paper, which base on the coherency matrix data, utilize polarimetric signature to refine the location accuracy and perform the pixel size normalization on each element of the coherency matrix using the backward integration method. Moreover, azimuth-slope correction is immediately following after radiometric correction. A supervised classification is performed on the orthorectified image to map the spatial distribution of snow and ice. The visual boundary between wet snow and bare ice surface is delineated on the orthorectified image too. These results show that glacier facies and the wet snow line can be mapped reasonably well using Radarsat-2 PolSAR in a mountainous environment.
Conference paper (PDF, 1403 KB)


Citation: Tian, B., Li, Z., and Zhu, Y.: TERRAIN CORRECTION OF POLARIMETRIC SAR DATA AND ITS APPLICATION IN MAPPING MOUNTAIN GLACIER FACIES WITH RADARSAT-2 SAR, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-4/W19, 319-324, https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-319-2011, 2011.

BibTeX EndNote Reference Manager XML