Integrating color features in polar metric SAR image classification

摘要：

　　This paper presents a method to combine the color feature and target decomposition characteristics to study the classification of polarimetric SAR.It makes up decomposition feature vector by polarimetric target decomposition.Then through the pseudo color enhancement method to get the false color image of polarimetric SAR data representation, then extracting color histogram from the pseudo color images to make up the color feature vector, to provide additional information for further land classification.Classification experiments were performed at different feature vector using RadarSat-2 polarimetric SAR image.And make the quantitative and qualitative comparison analysis with classification results.The experimental results show that, the join of the color feature can effectively improve the classification accuracy of polarimetric SAR images.

关键词： PolSAR image classification Pseudo color enhancement Color feature feature vector

作者: Lijing Bui Pengyan Huang Yanan Quan Lu Shen

作者单位: School of Geomatics, Liaoning Technical University, Fuxin123000, China

会议类型: 国际会议

会议名称: 2015 International Academic Forum for Mine Surveying in China(2015中国国际矿山测量学术论坛)

会议地点: 北京

会议语种:英文

页码: 437-443

在线出版日期: 2015-10-16（万方平台首次上网日期，不代表论文的发表时间）