SHADOW DETECTION IN REMOTE SENSING IMAGES BASED ON WEIGHTED EDGE GRADIENT RATIO

被引：3

作者：

Pan, Bin ^{[1
]}

Wu, Junfeng ^{[1
]}

Jiang, Zhiguo ^{[1
]}

Luo, Xiaoyan ^{[1
]}

机构：

[1] Beihang Univ, Sch Astronaut, Image Proc Ctr, Beijing 100191, Peoples R China

来源：

2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年

关键词：

edge gradient ratio; shadow detection; WEGR; texton feature;

D O I：

10.1109/IGARSS.2014.6946470

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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.

引用

页数：4

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