Occluded building height estimation from single HR SAR image based on an iterative model matching technique

Based on the analysis of occluded buildings in high resolution SAR images, a novel method for occluded building height estimation was proposed. First, a projection model for SAR building signature prediction from a 3D pa-rametric model was constructed. Second, a likelihood function for SAR building...

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Main Authors: Li-bing JIANG, Zhuang WANG, Lin LEI, Wen-xian YU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2013-03-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2013.03.008
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author Li-bing JIANG
Zhuang WANG
Lin LEI
Wen-xian YU
author_facet Li-bing JIANG
Zhuang WANG
Lin LEI
Wen-xian YU
author_sort Li-bing JIANG
collection DOAJ
description Based on the analysis of occluded buildings in high resolution SAR images, a novel method for occluded building height estimation was proposed. First, a projection model for SAR building signature prediction from a 3D pa-rametric model was constructed. Second, a likelihood function for SAR building signature evaluation was formulated. Finally, the parametric models with different height parameters were evaluated with the actual SAR image by the likelih-ood function. The estimated building height corresponded to the parametric model which reached a maximum likelihood value. Comparative experimental results show that the proposed method is more effective in estimating building height even under partial occlusion.
format Article
id doaj-art-dd3f697b3c3a4e2999d8d123a2a1ec1b
institution OA Journals
issn 1000-436X
language zho
publishDate 2013-03-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-dd3f697b3c3a4e2999d8d123a2a1ec1b2025-08-20T02:09:28ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-03-0134687559670743Occluded building height estimation from single HR SAR image based on an iterative model matching techniqueLi-bing JIANGZhuang WANGLin LEIWen-xian YUBased on the analysis of occluded buildings in high resolution SAR images, a novel method for occluded building height estimation was proposed. First, a projection model for SAR building signature prediction from a 3D pa-rametric model was constructed. Second, a likelihood function for SAR building signature evaluation was formulated. Finally, the parametric models with different height parameters were evaluated with the actual SAR image by the likelih-ood function. The estimated building height corresponded to the parametric model which reached a maximum likelihood value. Comparative experimental results show that the proposed method is more effective in estimating building height even under partial occlusion.http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2013.03.008HR SAR image;building height estimation;partial occlusion;SAR building signature;likelihood function
spellingShingle Li-bing JIANG
Zhuang WANG
Lin LEI
Wen-xian YU
Occluded building height estimation from single HR SAR image based on an iterative model matching technique
Tongxin xuebao
HR SAR image;building height estimation;partial occlusion;SAR building signature;likelihood function
title Occluded building height estimation from single HR SAR image based on an iterative model matching technique
title_full Occluded building height estimation from single HR SAR image based on an iterative model matching technique
title_fullStr Occluded building height estimation from single HR SAR image based on an iterative model matching technique
title_full_unstemmed Occluded building height estimation from single HR SAR image based on an iterative model matching technique
title_short Occluded building height estimation from single HR SAR image based on an iterative model matching technique
title_sort occluded building height estimation from single hr sar image based on an iterative model matching technique
topic HR SAR image;building height estimation;partial occlusion;SAR building signature;likelihood function
url http://www.joconline.com.cn/thesisDetails#10.3969/j.issn.1000-436x.2013.03.008
work_keys_str_mv AT libingjiang occludedbuildingheightestimationfromsinglehrsarimagebasedonaniterativemodelmatchingtechnique
AT zhuangwang occludedbuildingheightestimationfromsinglehrsarimagebasedonaniterativemodelmatchingtechnique
AT linlei occludedbuildingheightestimationfromsinglehrsarimagebasedonaniterativemodelmatchingtechnique
AT wenxianyu occludedbuildingheightestimationfromsinglehrsarimagebasedonaniterativemodelmatchingtechnique