Abstract | ||
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In the view of geometry, a SAR image is very different from the general optical image by the rador sensor and unique geometric characteristics. So, to combine or analyze with the other image, it must to correct the slant range images into the georeferenced images. This paper describes the SAR geocoding module, which is the sub-module of an IRHIS ("Integrated RS s/w for High resolution satellite ImageS"): package of "Development of High Resolution Satellite Image Processing Technique" project in Electronics and Telecommunications Research Institute (ETRI). In this paper, we briefly describe the algorithm that is adopted to the functions, and component architecture. |
Year | DOI | Venue |
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2004 | 10.1109/IGARSS.2004.1370069 | IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET |
Keywords | Field | DocType |
SAR, mapping, grid coverage | Radar engineering details,Image map,Computer vision,Radar imaging,Geocoding,Synthetic aperture radar,Computer science,Remote sensing,Artificial intelligence,Image resolution,Slant range,Grid | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kwang-Yong Kim | 1 | 3 | 2.44 |
Soo Jeong | 2 | 2 | 1.40 |
Kyung-Ok Kim | 3 | 9 | 4.06 |