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| 面向城市地物分类的L波段SAR影像极化特征提取与分析 | |
| 引用本文： | 王贺,张路,徐金燕,廖明生. 面向城市地物分类的L波段SAR影像极化特征提取与分析[J]. 武汉大学学报(信息科学版), 2012, 37(9): 1068-1072,1136 |
| 作者姓名： | 王贺 张路 徐金燕 廖明生 |
| 作者单位： | 1. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号430079 中国科学院深圳先进技术研究院,深圳市学苑大道1068号518055 2. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079 |
| 基金项目： | 国家863计划资助项目，国家自然科学基金资助项目，高等学校博士学科点专项科研基金资助项目 |
| 摘 要： | 针对ALOS PALSAR全极化数据提取了多种极化特征,分析其对人工地物、裸地、农田、林地、水体5种典型地物的提取能力。实验结果表明,利用全极化SAR影像提取的极化特征可以较好地区分城市典型地物类型,并且全极化数据的地物区分能力优于双极化数据。对于单一时相的数据分类结果而言,人工地物与其他非人工地物的极化特征差别最大,水体与林地也较容易区分,而裸地和农田容易混淆。 |
| 关 键 词： | 全极化SAR 极化特征 城市地物提取 |
Evaluation of L-band Polarimetric SAR Images for Urban Land Cover Classification |
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| WANG He,ZHANG Lu,XU Jinyan,LIAO Mingsheng. Evaluation of L-band Polarimetric SAR Images for Urban Land Cover Classification[J]. Geomatics and Information Science of Wuhan University, 2012, 37(9): 1068-1072,1136 | |
| Authors: | WANG He ZHANG Lu XU Jinyan LIAO Mingsheng |
| Affiliation: | 1(1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China)(2 Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences, 1068 Xueyuan Avenue,Shenzhen 518055,China) |
| Abstract: | Several polarimetric characteristics are extracted from ALOS PALSAR data,containing coherent and non-coherental characteristics.Then,through qualitative and quantitative indicators,their abilities to distinguish five typical urban land covers including artificial features,bare land,farmland,woodland and water are analyzed and compared.The experimental results show that circular polarization correlation coefficient,linear polarization correlation coefficient,total power and XPI are the best set of polarization characteristics to classify these land covers.Classification using such a group of characteristics can achieve an overall accuracy of 75.5% with Kappa being 0.651 1.In addition,we find that artificial features are easier to be distinguished from other land cover types,while bare land and farmland are prone to be mixed up. |
| Keywords: | polarimetric SAR polarimetric features urban land cover classification |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |