计算机工程Issue(10)：254-257,263,5.DOI:10.3969/j.issn.1000-3428.2013.10.054
基于共享特征的高分辨率遥感影像多级分类
Multi-stage Classification of High Resolution Remote Sensing Image Based on Sharing Features
摘要
Abstract
High resolution remote sensing images with abundant details generally have characteristics of great within class differences and unobvious between class differences. Simulating the visual interpretation, this paper proposes a multi-stage binary tree-structured classification algorithm based on sharing features. The multi-class classification problem is divided into multiple binary classification problems, sharing features are extracted to interpret objects of only one class at each binary classification stage, and each interpreted class will not participate in later classification. The proposed method makes use of the phase-out mechanism to complete the whole interpretation of a remote sensing image. Experimental results show that this algorithm has higher classification accuracy compared with other multi-class classification algorithms like K Nearest Neighbor(KNN), Support Vector Machine(SVM) and so on.关键词
共享特征/二叉树多级分类算法/GentleBoost算法/二分分类器/面向对象分类/高分辨率遥感影像Key words
sharing features/multi-stage binary tree-structured classification algorithm/GentleBoost algorithm/binary classifier/object-oriented classification/high resolution remote sensing image分类
信息技术与安全科学引用本文复制引用
康萌萌,郑来文,霍宏,方涛..基于共享特征的高分辨率遥感影像多级分类[J].计算机工程,2013,(10):254-257,263,5.基金项目
国家“973”计划基金资助项目(2012CB719903)；国家自然科学基金资助项目(41071256)；国家自然科学青年基金资助项目(41101386)；博士点基金资助项目(20090073110018)；上海交通大学理工交叉基金资助项目(X198144) （2012CB719903）
