Classification of Polarimetric Radar Data with Texture Measure

被引：0

作者：

Gupta, Divya ^{[1
]}

Tripathi, Swati ^{[1
]}

Rana, Shefali ^{[1
]}

Prakash, Rishi ^{[1
]}

机构：

[1] Graph Era Univ, Dept Elect & Commun Engn, Dehra Dun, India

来源：

2015 NATIONAL CONFERENCE ON RECENT ADVANCES IN ELECTRONICS & COMPUTER ENGINEERING (RAECE) | 2015年

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper we have classified polarimetric SAR image utilizing it capability to capture image in different polarization. Different land covers exhibit different sensitivity to differently polarized wave. Therefore, statistical measures (mean, variance and contrast) have been used to identify the best polarization to classify a particular land cover class (urban, water, vegetation, and canal). Statistical measure were applied on different polarized image choosing window size of 7 X 7. Based on texture measure, a decision tree was formed to classify the polarimetric SAR image. Good overall and class accuracies were observed for classified image.

引用

页码：176 / 179

页数：4

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