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Proceedings Paper

Building detection and extraction from monocular imagery by pose clustering and matrix search algorithm
Author(s): Shiyong Cui; Qin Yan; Zhengjun Liu; Min Li
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Paper Abstract

This paper is focused on the task of building extraction from high resolution imagery, which is primarily comprised of two steps. The first one is the building location by modified pose clustering, and the second is building extraction using a novel matrix search algorithm. As a generate-and-test algorithm, pose clustering produces some building hypotheses based on vote accumulation, aimed at image subsets likely to contain just a building. After building hypotheses verification, some false alarms could be eliminated based on geometric rules. Then we focus on image subsets, each of which is a potential region containing a building. Most buildings are comprised of orthogonal and sequential corners. We classify the corners into four types according to the orientation of corresponding edges. Each type of corners is labeled with a tag for identification, such as ABCD, etc. Building contained in each image subset can be represented as a tag sequence. Based on the tag sequence and the matrix formed by the dominate line sets, we develop an efficient matrix searching algorithm to address the task of extraction. The experiments carried out in our system show the promising potential of this scheme.

Paper Details

Date Published: 7 November 2008
PDF: 12 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470M (7 November 2008); doi: 10.1117/12.813223
Show Author Affiliations
Shiyong Cui, Chinese Academy of Surveying and Mapping (China)
Qin Yan, Chinese Academy of Surveying and Mapping (China)
Zhengjun Liu, Chinese Academy of Surveying and Mapping (China)
Min Li, Shandong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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