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Journal of the Korea Institute of Military Science and Technology 2010;13(1):147-155.
Image Classification for Military Application using Public Landcover Map
Woo-Yong Hong, Wan-Yong Park, Hyeon-Seung Song, Cheol-Hoon Jung, Yang-Dam Eo, Seong-Joon Kim
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공개된 토지피복도를 활용한 위성영상 분류
홍우용, 박완용, 송현승, 정철훈, 어양담, 김성준
1건국대학교 사회환경시스템공학과
2국방과학연구소
3건국대학교 신기술융합학과
Abstract
Landcover information of access-denied area was extracted from low-medium and high resolution satellite image. Training for supervised classification was performed to refer visually by landcover map which is made and distributed from The Ministry of Environment. The classification result was compared by relating data of FACC land classification system. As we rasterize digital military map with same pixel size of satellite classification, the accuracy test was performed by image to image method. In vegetation case, ancillary data such as NDVI and image for seasons are going to improve accuracy. FACC code of FDB need to recognize the properties which can be automated.
Key Words: Landcover Information, Satellite Image, Supervised Classification, FACC Land Classification System
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