대한원격탐사학회:학술대회논문집 (Proceedings of the KSRS Conference)
- 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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- Pages.807-810
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- 2003
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- 1226-9743(pISSN)
The study of Combination Texture Information and Knowledge Base Classification for Urban Paddy Area Extraction-Using High Resolution Satellite Image
- Chou, Tien-Yin (100 Wenhwa Rd.) ;
- Lei, Tsu-Chiang (100 Wenhwa Rd.) ;
- Chen, Yan-Hung (100 Wenhwa Rd.)
- 발행 : 2003.11.03
초록
This research uses high-resolution satellite images as a source of collecting farmland information. For effectively extract the paddy area, we use texture information and different classify methods to assist the satellite image classification. First, using maximum likelihood classifier to extract paddy information from images. The results show that User Accuracy and Procedure Accuracy of the paddy area can increase from 80.60% to 95.45% and 84.38% to 95.45%. Second, establishing a paddy Knowledge Base and using Knowledge Base Classifier to extract paddy area, and result shows the User Accuracy and Producer Accuracy to be 92.16% and 90.06%. Finally, The result shows we can effectively contribute to the paddy field information extraction from high-resolution satellite images.