Classifying the Remote Sensing Image with Complex Terrain Based on Geographical Districting Method A case study of the whole area of Jiaozuo city
Since a high degree of heterogeneity within the large region with mountains, plains, rivers and other complex terrains coexistence, automatically classifying the remote sensing image of this region as a whole will result in serious misclassification and low classification accuracy. To solve this problem, this paper presents a new classification method that the regional image is divided into several geographical homogenous sub-images which then is classified independently. The goal of this method is to increase the homogeneity of the districted sub-images to be classified. The Landsat ETM+ image covering the whole region of Jiaozuo city is processed as an example in the experiment. In contrast with the traditional classification method, the result of this method has higher classification accuracy with two evaluated indices of overall accuracy and KAPPA coefficients increased by 12.7％ and 0.1508.
remote sensing classification complex terrain homogeneity geographical districting
Yang Leiku Han Jie Xie Yujuan Liang Hongyou
State Bureau of Surveying and Mapping Key Laboratory of Mine Spatial Information Henan Polytechnic University Jiaozuo, China
国际会议
太原
英文
421-424
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）