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http://dx.doi.org/10.6109/jkiice.2008.12.2.321

Development of Monitoring System for Forests Type Based on Web  

Kim, Jin-Soo (부경대학교 공과대학 공학연구원)
Seo, Dong-Ju (부경대학교 공과대학 공학연구원)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.12, no.2, 2008 , pp. 321-327 More about this Journal
Abstract
In recently, researches which appling satellite image are introduced target to the forest area. Especially, it is satellite image analysis's advantage that collecting information of terrain at the direct accesses are dangerous and impassible area. But, the studies approaching to a inflectional paradigm of forests and change detection system for the distinguished forests type are leaves much to be desired. In this study, therefore, change of forests type was analyzed using Landsat TM satellite image which have multi-spectral bands. Furthermore, change detection system for forests type was constructed on web for the periodical monitoring.
Keywords
Satellite Image; Landsat TM; Forest Type; Change Detection System; Web;
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1 Benediktsson, J.A., Swain, P.H., and Ersoy, O.K., Neural network approaches versus statistical methods in classification of multisource remote sensing data, IEEE Transaction on Geoscience and Remote Sensing, Vol.28, No.4, pp.540-552, 1990   DOI   ScienceOn
2 Foschi, P.G., and Smith, D.K., Detecting subpixel woody vegetation in digital imagery using two artificial intelligence approaches, PE&RS, Vol.63, No.5, pp.493-500, 1997
3 Janssen, L.L.F., and Huurneman, G.C., Principles of Remote Sensing, ITC Education Textbooks Series; 2, Second Edition, 2002
4 Kamata, S., and Kawaguchi, E., Application of neural network approach to classify multi- temporal LANDSAT images, IGRASS93, pp.716 -718, 1993
5 이병걸, 강인준, 원격탐사기법을 이용한 제주도와 주변 해양 식생분류기법에 관한 연구, 제주대학교 해양연구논문집, Vol.23, pp.151-159, 1999
6 Bischof, H., Schneider, W., and Pinz., A.J., Multi- spectral classification of LANDSAT images using neural networks. IEEE Transaction on Geoscience and Remote Sensing, Vol.30, No.3, pp.482-490, 1992   DOI   ScienceOn
7 이승희, 인공위성 영상자료를 이용한 식생분류 정확도 검증, 서울시립대학교, 석사학위논문, pp.56- 59, 2003
8 조명희, 조윤원, 위성영상기반 전자주제도 작성 및 관리시스템 개발 -산림행정업무지원서비스를 사례연구로-, 한국지리정보학회지 제9권 제1호, pp. 89-100, 2006