Classification for Remote Sensing Image by Vector-based Neural Network
(0) The artificial neural network technique developing rapidly in recent years provides a new means for classification of remote sensing image. While a lot of neural network algorithms have some problems in practice and cant get satisfaction result. In this paper, Vector-based BP neural network algorithm in the classification is discussed. Vector information plays an assistant decision-making role during the image classification. It will help to define the sample training data and be an effective tool to evaluate the classification result. A qualitative comparison demonstrates that both original images and the classified maps are visually well matched. A further quantitative analysis indicates that the accuracy of this algorithm is better than the result of the traditional BP approaches. 1
classification neural network remote sensing image vector information
CHEN Yumin WU Chenchen YE Huanzhuo
School of Resource and Environment Science, Wuhan University, Wuhan 430079 State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan Uni Information school, Zhongnan University of Economic & Law, Wuhan 430070
国际会议
北京
英文
2007-08-05（万方平台首次上网日期，不代表论文的发表时间）