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

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages505-508
Number of pages4
ISBN (Electronic)9781479957750
DOIs
StatePublished - 4 Nov 2014
EventJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada
Duration: 13 Jul 201418 Jul 2014

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

ConferenceJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country/TerritoryCanada
CityQuebec City
Period13/07/1418/07/14

Keywords

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

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