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高分辨率光学与SAR影像在建筑物信息提取中的应用
引用本文:张斌,张耀明,张志,秦前清,王晗.高分辨率光学与SAR影像在建筑物信息提取中的应用[J].应用科学学报,2015,33(5):559-567.
作者姓名:张斌  张耀明  张志  秦前清  王晗
作者单位:1. 中国地质大学公共管理学院, 武汉 430074; 2. 武汉大学测绘遥感信息工程国家重点实验室, 武汉 430079
基金项目:国家"863"高技术研究发展计划基金(No.2013AA122301);湖北省自然科学基金(No.2014CFB892);对地观测技术国家测绘地理信息局重点实验室开放基金(No.K201407);中央高校新青年教师科研启动基金(No.CUGW140907);基于国产卫星的地质灾害调查监测系统研制与示范应用(发改办高技No.(2012)2083)资助
摘    要:利用高分辨率航天遥感数据对建筑物实现三维重建,具有重要的理论与实用价值.光学与SAR图像是应用较为广泛的两种遥感数据,高分辨率是当代遥感发展的一个重要趋势. 归纳了建筑物检测与高程估算的研究现状,分析了建筑物在高分辨率SAR影像中的物理散射特性,并进行模拟仿真. 以采用的数据源为序,分别介绍了建筑物检测与高程估算的研究现状及存在的问题. 对基于高分辨率光学与SAR影像的建筑物三维重建进行了展望.

关 键 词:高分辨率  光学影像  SAR影像  三维重建  建筑物检测  高程估算  
收稿时间:2014-11-11
修稿时间:2015-03-24

Application of Building Information Extraction Based on High Resolution Optical and SAR Images
ZHANG Bin,ZHANG Yao-ming,ZHANG Zhi,QIN Qian-qing,WANG Han.Application of Building Information Extraction Based on High Resolution Optical and SAR Images[J].Journal of Applied Sciences,2015,33(5):559-567.
Authors:ZHANG Bin  ZHANG Yao-ming  ZHANG Zhi  QIN Qian-qing  WANG Han
Institution:1. School of Public Administration, China University of Geosciences, Wuhan 430074, China; 2. State Key Laboratory of Remote Sensing Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430074, China
Abstract:Three-dimensional reconstruction of buildings based on high-resolution spaceborne remote sensing data is an important topic, with theoretical research and application values. Optical and SAR images are two types of widely applied remote sensing data. Highresolution remote sensing is an important trend in contemporary development. Building detection and height estimation are described and summarized. Physical scattering characteristics of buildings in high resolution SAR images are analyzed, and simulation carried out. Research status of building detection and height estimation is presented in the order of used image sources. In-depth analysis of the problems in building detection and height estimation is presented. Finally, the future research directions for building three-dimensional reconstruction based on high-resolution optical and SAR images are suggested.
Keywords:high resolution  optical image  SAR image  three-dimensional reconstruction  building detection  height estimation  
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