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: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2013-03-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.03.008/ |
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| Summary: | 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. |
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| ISSN: | 1000-436X |