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학술지 Automated HRSI Georegistration Using Orthoimage and SRTM: Focusing KOMPSAT-2 Imagery
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저자
오재홍, 이창노, 서두천
발행일
201303
출처
Computers & Geosciences, v.52, pp.77-84
ISSN
0098-3004
출판사
Elsevier
DOI
https://dx.doi.org/10.1016/j.cageo.2012.09.026
협약과제
11VC2200, 운전 안전성 및 편의성 향상을 위한 운전자 시야 중심 차량용 증강현실 정보제공 시스템 기술개발, 김경호
초록
Conventional manual georegistration has been labor-intensive and time-consuming to process globally acquired high-resolution satellite imagery (HRSI) including the Korea Multi-Purpose Satellite-2 (KOMPSAT-2). While an image-to-image matching-based method can provide an automated procedure, geometric and pixel value differences such as the apparent leaning of the terrain limits an accurate georegistration. This study utilizes the projection of orthoimages into the HRSI space using external elevation data to reduce the geometric difference, and an edge matching is applied to overcome the pixel value differences. Either rigorous or replacement sensor modeling is then carried out for georegistration with robust outlier removal. An experiment for a KOMPSAT-2 strip using Digital Orthophoto Quadrangles and the Shuttle Radar Topography Mission improved the horizontal positional accuracy from 70 to only a few meters for the test data set. © 2012 Elsevier Ltd.
키워드
CV, DOQ, Georegistration, HRSI, KOMPSAT-2, RECC, SRTM
KSP 제안 키워드
Data sets, Digital Orthophoto, Edge Matching, Elevation data, High-resolution satellite imagery, Image Matching, KOMPSAT-2, Outlier Removal, Pixel Value, Positional accuracy, Sensor Modeling