Main-stream Feature Eztraction of the Yellow River Based on Regional Spectral Un-mizing
The mainstream of the Yellow River is the water dynamic axis with maximum velocity, ferocity flow pattern and turbulence wave on water surface, which is an important basis for flood control decision and river regulation planning. The location of the main-stream is significant for situation forecasting and flood prevention. The development of the remote sensing technology makes it possible to extract the main-stream of the Yellow River quickly and exactly. Locating the position of the main-stream is a key to make decision for flood control. We propose a method of feature extraction for main-stream based on regional spectral un-mixing in this paper. Since the main-stream of the Yellow River is regarded as an endmember in high dimension space according to the spectral un-mixing technology, in which the geometric properties of the spectral vector in high dimensional space are utilized, the representative endmember of the main-stream area of the Yellow River could be selected thus the typical feature could be extracted accordingly. The experiment results on both synthesized and real data indicate that this method is effective on extracting the feature of main-stream of the Yellow River.
multispectral image spectral un - mizing main - stream of the Yellow River feature eztraction
Zhang Yanning Zhao Na Liu Xuegong She Hongwei Han Lin
Shaanxi Key Laboratory of Speech & Image Information Processing, School of Computer Science, Northwe Yellow River Conservancy Commission, Zhengzhou, 450003, China Shaanxi Key Laboratory of Speech & Image Information Processing, School of Computer Science, Northwe
国际会议
郑州
英文
1515-1522
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）