A novel algorithm in buildings/shadow detection based on Harris detector
作者:Yu, B (Yu, Bo)[ 1,2 ] ; Wang, L (Wang, Li)[ 1 ] ; Niu, Z (Niu, Zheng)[ 1 ]
OPTIK
卷: 125  期: 2  页: 741-744
DOI: 10.1016/j.ijleo.2013.07.043
出版年: 2014

摘要
A novel method based on corner detectors is proposed in detecting shadow and buildings in this paper. Its most outstanding point is employing Harris corner detector in region-based detection, despite that Harris detector traditionally used to select pixels as final results. Different densities of buildings are generally influenced by different features for recognition. First time, images are self-grouped into two groups according to the distribution of buildings, and two specifical algorithms are ready for detection specifically. A region-based method is used in comparison with our algorithm, and the results indicate that the new idea works not only more robustly, but also more effectively. It is a fast and simple method, which needs average 3.28 x 10(-5) S to run per square image. (C) 2013 Elsevier GmbH. All rights reserved.

通讯作者地址: Niu, Z (通讯作者)
Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[ 2 ] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China