科技创新与应用2025，Vol.15Issue(27)：28-33,6.DOI:10.19981/j.CN23-1581/G3.2025.27.006
基于极化相似性参数的多极化SAR图像变化检测方法
郭茹云 1刘秀清 2商建3
作者信息
- 1. 中国科学院空天信息创新研究院,北京 100094||中国科学院大学 电子电气与通信工程学院,北京 100049
- 2. 中国科学院空天信息创新研究院,北京 100094
- 3. 国家卫星气象中心,北京 100081
- 折叠
摘要
Abstract
In this paper,the polarization similarity parameters between lake and ice images and typical lake and ice targets are calculated by calculating the coherence matrix of multi-polarization SAR data.The polarization similarity parameters are introduced into lake and ice change detection in multi-polarization SAR images,and a change detection method based on wavelet transform and adaptive weight weighting is proposed.In this paper,this method is applied to lake and ice change detection in Sentinel-1A IW dual-polarization SAR images.While maintaining a low false alarm rate,it effectively reduces the missed detection rate,improves the accuracy of change detection,and effectively improves the problems of missed detection and a large number of false alarms in traditional unipolar images in lake and ice change detection.关键词
多极化/SAR/极化相似性参数/变化检测/小波变换Key words
multipolarization/SAR/polarization similarity parameter/change detection/wavelet transform分类
信息技术与安全科学引用本文复制引用
郭茹云,刘秀清,商建..基于极化相似性参数的多极化SAR图像变化检测方法[J].科技创新与应用,2025,15(27):28-33,6.
