Share Email Print
cover

Proceedings Paper

Vegetation classification model based on high-resolution satellite imagery
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Based on a SPOT-5 image, this study built knowledge pool of vegetation spectral information, adopted classification algorithm of decision tree, proposed a vegetation classification model based on their spectral information and classified the vegetation of Nanjing. The results showed that the overall accuracy was 86.95% and Kappa coefficient was 0.8287. Then the classification model was validated by using an IKONOS image of Yuhuatai region and was improved through combining the textural information. The classification overall accuracy was increased to 92.70% and Kappa coefficient was increased to 0.8648.

Paper Details

Date Published: 9 June 2006
PDF: 9 pages
Proc. SPIE 6200, Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China, 62000F (9 June 2006); doi: 10.1117/12.681279
Show Author Affiliations
Junying Chen, China Remote Sensing Satellite Ground Station (China)
Nanjing Univ. (China)
Qingjiu Tian, China Remote Sensing Satellite Ground Station (China)
Nanjing Univ. (China)


Published in SPIE Proceedings Vol. 6200:
Remote Sensing of the Environment: 15th National Symposium on Remote Sensing of China
Qingxi Tong; Wei Gao; Huadong Guo, Editor(s)

© SPIE. Terms of Use
Back to Top