A novel algorithm in buildings/shadow detection based on Harris detector |
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Authors: | Bo Yu Li Wang Zheng Niu |
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Affiliation: | 1. The State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract: | 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 × 10−5 s to run per square image. |
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Keywords: | Buildings/shadow detection Harris corner detector Algorithms |
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