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| 基于灰度—梯度共生矩阵的植被提取方法 | |
| 引用本文： | 梁建,张占睦,李俊,过林. 基于灰度—梯度共生矩阵的植被提取方法[J]. 海洋测绘, 2013, 33(1): 29-31 |
| 作者姓名： | 梁建 张占睦 李俊 过林 |
| 作者单位： | 1. 解放军信息工程大学测绘学院,河南郑州450052;75719部队,湖北武汉430074 2. 解放军信息工程大学测绘学院,河南郑州,450052 3. 75719部队,湖北武汉,430074 4. 66240部队,北京,100052 |
| 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。 |
| 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 |
Research on Extraction of Vegetation Based on Gray Level-grads Co-occurrence Matrix |
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| LIANG Jian,ZHANG Zhanmu,LI Jun,GUO Lin. Research on Extraction of Vegetation Based on Gray Level-grads Co-occurrence Matrix[J]. Hydrographic Surveying and Charting, 2013, 33(1): 29-31 | |
| Authors: | LIANG Jian ZHANG Zhanmu LI Jun GUO Lin |
| Affiliation: | 1.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052,China; 2.75719 Troops,Wuhan 430074,China;3.66240 Troops,Beijing 100052,China) |
| Abstract: | 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 |
| Keywords: | gray level-grads co-occurrence matrix grads information laws texture measures extraction of vegetation |
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