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基于ALOS-2-SAR影像的建筑物检测与分析

Detection and Analysis of Building Based on ALOS-2 SAR Imagers
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摘要 建筑物的提取和检测涉及诸多社会领域和经济效应。为了实现对建筑物信息的快速提取与分析,利用双极化SAR影像数据对所选研究区建筑物进行研究分析。通过Cloude分解对双极化SAR影像进行极化散射特征提取,并结合灰度共生矩阵提取的纹理特征,实现对城市建筑物信息的高精度、高效率的提取与分析。结果表明:(1)通过Cloude分解能够较好地对双极化SAR影像特征进行分析,快速实现对较高建筑物和平行建筑物的检测与识别。(2)利用灰度共生矩阵能有效地提取SAR影像的相关统计量的纹理特征并对其进行融合,实现对建筑物的高效率、高精度、全类型的识别检测。 The extraction and detection of buildings involve many social fields and economic effects.In order to achieve rapid extraction and analysis of building information,we used dual-polarisation SAR image data to study and analyze buildings in the selected study area.We extracted the polarised scattering features from dual-polarised SAR images by Cloude decomposition.Combined with the extracted texture features by grey scale covariance matrix,we realized the high-precision and high-efficiency extraction and analysis of urban building information.The results show that①Cloude decomposition can analyze the features of dual-polarized SAR images,and quickly detect and identify the taller buildings and parallel buildings.②The texture features of SAR images can be extracted and fused with the grey scale covariance matrix to realize the high-efficiency,high-precision and all-type recognition and detection of buildings.
作者 代阿娜 王腾 袁伟韬 黄艳 DAI Ana;WANG Teng;YUAN Weitao;HUANG Yan(Guizhou Beidou Navigation Location Service Center,Guizhou First Surveying and Mapping Institute,Guiyang 550025,China;College of Geography and Environmental Science,Guizhou Normal University,Guiyang 550025,China)
出处 《地理空间信息》 2025年第6期18-22,共5页 Geospatial Information
基金 贵州省科技资助项目(黔科合支撑[2023]一般176)。
关键词 极化SAR影像 建筑物检测 极化散射特征 纹理特征 polarised SAR image buildings detection polarised scattering feature texture feature
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