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- W3147277726 abstract "Remote sensing image registration is a fundamental problem in image processing.In this paper,we develop a progressive image registration method based on adaptive scale for multimodal and multitemporal remote sensing images.In an iterative process proceeding from coarse to fine registration,geometric positioning errors computed from the results of the last registration can be used for scale determination.This reduces the number of matches and time cost compared with pyramid methods.In addition,we employ a feature-extraction and matching process using an algorithm based on the Harris-Laplace and phase correlation algorithms,which is invariant to sub-pixel ofiset,rotation,and scale change,unaected by changes in contrast and gray scale,and displaying strong noise immunity.Finally,we applied pumping dilute corner optimization to a limited search area to improve the performance of the algorithm.By applying this method in experiments and in the automatic batch processing of CBERS-02B satellite L3 data,we show that the algorithm is accurate,effcient and resistant to attacks." @default.
- W3147277726 created "2021-04-13" @default.
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- W3147277726 date "2011-01-01" @default.
- W3147277726 modified "2023-09-25" @default.
- W3147277726 title "A progressive remote sensing image registration method based on adaptive scale" @default.
- W3147277726 hasPublicationYear "2011" @default.
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