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Automatic Matching of Multi-Sensor Images Using Edge Detection Based on Thinning Algorithm  

Shin, Sung-Woong (한국전자통신연구원)
Kim, Jun-Chul ((주)쎄트렉아이)
Oh, Kum-Hui ((주)쎄트렉아이)
Lee, Young-Ran ((주)쎄트렉아이)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.26, no.4, 2008 , pp. 407-414 More about this Journal
Abstract
This study introduces an automatic image matching algorithm that can be applied for the scale different image pairs consisting of the satellite pushbroom images and the aerial frame images. The proposed method is based on several image processing techniques such as pre-processing, filtering, edge thinning, interest point extraction, and key-descriptor matching, in order to enhance the matching accuracy and the processing speed. The proposed method utilizes various characteristics, such as the different geometry of image acquisition and the different radiometric characteristics, of the multi-sensor images. In addition, the suggested method uses the sensor model to minimize search area and eliminate false-matching points automatically.
Keywords
Key-Points Extraction; Image Thinning; Edge Detection; Image Matching; Multi-Sensor Image; Multi-Resolution Image
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By SCOPUS : 0
연도 인용수 순위
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