A Analysis of the Automatching Using Landsat TM Data and Astronomical Approach

Automatching algorithm is suitable for cross-correlation, which showed correlation surface about maximal correlation coefficient. The size of the window area must be determined empirically, whereas window size generally chosen as a compromise between speed and accuracy. It is possible that epipolar...

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Bibliographic Details
Main Authors: Jong-Hyun Park, Kyu-Hong Choi, Seong-Ik Cho, Kyoungyoon Park
Format: Article
Language:English
Published: The Korean Space Science Society 1991-06-01
Series:Journal of Astronomy and Space Sciences
Online Access:http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/1991/v8n1/OJOOBS_1991_v8n1_115.pdf
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Summary:Automatching algorithm is suitable for cross-correlation, which showed correlation surface about maximal correlation coefficient. The size of the window area must be determined empirically, whereas window size generally chosen as a compromise between speed and accuracy. It is possible that epipolar transform prevented from mismatching and decreased search space. In application of the astronomical fields, automatching algorithm mainly used to planet surface recovery in satellite image.
ISSN:2093-5587
2093-1409