PROJECTION BASED STATISTICAL FEATURE EXTRACTION WITH MULTISPECTRAL IMAGES AND ITS APPLICATIONS ON THE YELLOW RIVER MAINSTREAM LINE DETECTION

作     者：Zhang Yanning Zhang Haichao Duan Feng Liu Xuegong Han Lin 

作者机构：Dept of Compute Science and Technology Northwestern Polytechnical University Xi＇an 710129 China Information Center of Yellow River Conservancy Commission Zhengzhou 450003 China 

基　　金：supported by the Flood Control Foundation of Yellow River Conservancy Commission the 2007 Key Supporting Project on Undergraduate Graduation Thesis of North-western Polytechnical University 

出 版 物：《Journal of Electronics(China)》 (电子科学学刊（英文版）)

年 卷 期：2009年第26卷第3期

页      码：359-365页

摘      要：Mainstream line is significant for the Yellow River situation forecasting and flood *** effective statistical feature extraction method is proposed in this *** this method, a between-class scattering matrix based projection algorithm is performed to maximize between-class differences, obtaining effective component for classification;then high-order statistics are utilized as the features to describe the mainstream line in the principal component *** are performed to verify the applicability of the *** results both on synthesized and real scenes indicate that this approach could extract the mainstream line of the Yellow River automatically, and has a high precision in mainstream line detection.

主 题 词：Mainstream line Projection Between-class scatter matrix High-order statistics Skewness 

学科分类：08[工学] 080203[080203] 081501[081501] 0815[工学-矿业类] 0802[工学-机械学] 

D　O　I：10.1007/s11767-008-0043-6

馆 藏 号：203240758...