基于灰度—梯度共生矩阵的植被提取方法  

Research on Extraction of Vegetation Based on Gray Level-grads Co-occurrence Matrix

作　　者：梁建[1,2] 张占睦[1] 李俊[2] 过林 

机构地区：[1]解放军信息工程大学测绘学院 [2]75719部队 [3]66240部队

出　　处：《海洋测绘》2013年第1期29-31,共3页Hydrographic Surveying and Charting

摘　　要：在灰度共生矩阵的基础上融入梯度信息,提出灰度—梯度共生矩阵模型,再结合Laws纹理能量测度算法对植被进行提取,得到了较好的实验结果,可应用于遥感影像中的植被监测。With the speedy development of the technique of remote sensing image processing, researches on vegetation, the classic area symbol, are more mature. This paper major advances gray level-grads co-occurrence matrix model based on gray level co-occurrence matrix and the amalgamation of grads information, and then extract vegetation with the laws, texture measures, to vegetation monitoring of the remote sensing images. get good experiment results which could be used in

关 键 词：遥感影像 灰度-梯度共生矩阵 梯度信息 Laws纹理能量测度 植被提取 

分 类 号：P237[天文地球—摄影测量与遥感]