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