대한원격탐사학회:학술대회논문집 (Proceedings of the KSRS Conference)
- 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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- Pages.204-206
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- 2003
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- 1226-9743(pISSN)
Object oriented classification using Landsat images
- Yoon, Geun-Won (Spatial Information Technology Center, Electronics and Telecommunications Research Institute) ;
- Cho, Seong-Ik (Spatial Information Technology Center, Electronics and Telecommunications Research Institute) ;
- Jeong, Soo (Spatial Information Technology Center, Electronics and Telecommunications Research Institute) ;
- Park, Jong-Hyun (Spatial Information Technology Center, Electronics and Telecommunications Research Institute)
- 발행 : 2003.11.03
초록
In order to utilize remote sensed images effectively, a lot of image classification methods are suggested for many years. But, the accuracy of traditional methods based on pixel-based classification is not high in general. In this study, object oriented classification based on image segmentation is used to classify Landsat images. A necessary prerequisite for object oriented image classification is successful image segmentation. Object oriented image classification, which is based on fuzzy logic, allows the integration of a broad spectrum of different object features, such as spectral values , shape and texture. Landsat images are divided into urban, agriculture, forest, grassland, wetland, barren and water in sochon-gun, Chungcheongnam-do using object oriented classification algorithms in this paper. Preliminary results will help to perform an automatic image classification in the future.