A LEAST SQUARE ALGORITHM FOR GEOMETRIC MATCHING OF REMOTE SENSED IMAGES

A LEAST SQUARE ALGORITHM FOR GEOMETRIC MATCHING OF REMOTE SENSED IMAGES

The aim of geometric matching is to extract the geometric transformation parameters between the corresponding images. That is useful for photogrammetric mapping, deformation detection, and flying platform's posture analyses, etc. It is different compare with ordinary feature based image matchin...

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Bibliographic Details
Main Authors:	Y. Yang, G. Su, Y. Li, F. Liu, Z. Lin
Format:	Article
Language:	English
Published:	Copernicus Publications 2020-08-01
Series:	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/121/2020/isprs-annals-V-2-2020-121-2020.pdf

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