DocumentCode :
81605
Title :
Block Adjustment for Satellite Imagery Based on the Strip Constraint
Author :
Guo Zhang ; Tao-yang Wang ; Deren Li ; Xinming Tang ; Yong-hua Jiang ; Wen-chao Huang ; Hongbo Pan
Author_Institution :
State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China
Volume :
53
Issue :
2
fYear :
2015
fDate :
Feb. 2015
Firstpage :
933
Lastpage :
941
Abstract :
Given that long strip satellite images have the same error distribution characteristics, we propose a block adjustment method for satellite images based on the strip constraint. First, the image point coordinates are calculated in the strip image coordinate system based on the offset value of the adjacent image. Second, the rational function model (RFM) of the strip image is regenerated using the RFM of single images, and the compensation grid is also generated. Third, block adjustment of the strip image is implemented based on the RFM with an affine transformation parameter. Finally, the affine transformation parameters of single images are recalculated using the affine transformation parameters of the strip image. Experiments using ZY-3 satellite images showed that block adjustment of satellite images based on a strip constraint (strip adjustment) can produce better results than block adjustment of satellite images based on a single image in sparse control conditions. The test results demonstrated the effectiveness and feasibility of the proposed method.
Keywords :
affine transforms; artificial satellites; geophysical image processing; rational functions; remote sensing; RFM; ZY-3 satellite images; affine transformation parameter; block adjustment method; compensation grid; error distribution characteristics; image point coordinates; rational function model; sparse control condition; strip constraint; strip image coordinate system; Accuracy; Aerospace electronics; Orbits; Polynomials; Satellites; Space vehicles; Strips; Accuracy; ZY-3 satellite images; block adjustment; compensation grid; rational function models (RFMs); strip constraint;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2014.2330738
Filename :
6849481
Link To Document :
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