高分辨率遥感影像多特征协同地物分类方法  

High Resolution Remotely Sensed Image Classification Method of Multi-Feature Collaboration

作　　者：林栋[1] 秦志远[1] 杨婧玮[2] 张占睦[1] 

机构地区：[1]信息工程大学,河南郑州450001 [2]成都军区通信网络技术管理中心,四川成都610000

出　　处：《测绘科学技术学报》2014年第2期167-172,共6页Journal of Geomatics Science and Technology

摘　　要：高空间分辨率遥感影像在提高对地物细节信息表达的同时,因地物类内光谱方差增大、类间光谱方差降低而造成了影像上地物识别与分类难度的增加。针对高分辨率遥感影像的地物分类问题,提出并实现了一种将光谱、纹理、形状等多特征综合协同的分类方法,并通过实验验证了该方法的有效性。High resolution remotely sensed images can provide a large amount of detailed information. However, due to the increasing variance within the same class and the decreasing variance even between different classes in spectral domain, the difficulty of land cover＇s recognition and classification increases a lot. In order to overcome the problem, a classification method of combing spectrum, texture and shape features into collaborative features was proposed. The experiment results showed that the proposed method was effective.

关 键 词：高空间分辨率遥感影像 细节信息 光谱-纹理-形状 多特征协同 分类 

分 类 号：P237[天文地球—摄影测量与遥感]