| 折反射全向图像与遥感图像配准的建筑物高度提取算法 |
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| 引用本文： | 王媛媛,陈旺,张茂军,王炜,徐玮.折反射全向图像与遥感图像配准的建筑物高度提取算法[J].计算机应用,2011,31(9):2477-2480. |
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| 作者姓名： | 王媛媛 陈旺 张茂军 王炜 徐玮 |
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| 作者单位： | 1. 国防科学技术大学 信息系统与管理学院，长沙 4100732. 解放军炮兵学院 基础部，合肥 230031 |
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| 基金项目： | 国家自然科学基金资助项目(60773023,60803101);国家863计划项目(2009AA01Z328) |
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| 摘 要： | 提出一种折反射全向图像与遥感图像配准的建筑物高度提取算法，可应用于大范围三维城市重建。首先，利用全向Hough变换方法提取折反射全向图像中建筑物的顶部边界线;然后基于提取的边界线，根据空间水平直线全向成像的角度不变性对折反射全向图像与遥感图像进行配准;最后利用配准结果，依据折反射全向图成像模型计算建筑物高度。实验结果证明该方法简捷易行且计算结果准确，误差较小。
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| 关 键 词： | 折反射全向图像 遥感图像 全向Hough变换 图像配准 建筑物高度 |
| 收稿时间： | 2011-03-28 |
| 修稿时间： | 2011-05-16 |
Method for estimating building heights via registering catadioptric omnidirectional image and remote sensing image |
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| WANG Yuan-yuan,CHEN Wang,ZHANG Mao-jun,WANG Wei,XU Wei.Method for estimating building heights via registering catadioptric omnidirectional image and remote sensing image[J].journal of Computer Applications,2011,31(9):2477-2480. |
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| Authors: | WANG Yuan-yuan CHEN Wang ZHANG Mao-jun WANG Wei XU Wei |
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| Affiliation: | 1. College of Information System and Management, National University of Defense Technology, Changsha Hunan 410073, China2. Department of Basic Courses, Artillery Academy of PLA, Hefei Anhui 230031, China |
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| Abstract: | A method was proposed for estimating building heights via registering catadioptric omni-directional image and remote sensing image, which can be applied to large-scale 3D city reconstruction. Firstly, the top edges of building roof were extracted from the catadioptric omni-directional image by using omnidirectional Hough transform. Then the catadioptric omni-directional image and the remote sensing image were registered based on the extracted top edges where the angle consistency nature of horizontal lines in catadioptric omni-directional imaging was used as evidence. Finally, according to the model of catadioptric omnidirectional camera, the building heights were estimated by using the registration results. The proposed method is simple and easy to implement. The experimental results show that the method is effective and the error of estimated building height is fairly small. |
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| Keywords: | catadioptric omnidirectional image remote sensing image omnidirectional Hough transform image registration building height |
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