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Shadow detection in remote sensing images based on weighted edge gradient ratio

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper presents a novel shadow detection method in remote sensing images based on edge feature description of candidate regions. Edge gradient ratio is defined and used to represent the inherent properties of shadow regions. To improve the detection result, weighted edge gradient ratio (WEGR) is addressed, where the weight of a region is determined by the number of pixels belonging to shadow in the region, and edge gradient ratio is proposed to describe the edge feature surrounding the region. Experiments and comparisons indicate that our method achieves better accuracy both on high and low quality remote sensing images.

源语言英语
主期刊名2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
505-508
页数4
ISBN(电子版)9781479957750
DOI
出版状态已出版 - 4 11月 2014
活动Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, 加拿大
期限: 13 7月 201418 7月 2014

丛书

姓名International Geoscience and Remote Sensing Symposium (IGARSS)
ISSN(印刷版)2153-6996
ISSN(电子版)2153-7003

会议

会议Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
国家/地区加拿大
Quebec City
时期13/07/1418/07/14

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