Normalizing shadows in multi-temporal aerial frame imagery using relative radiometric adjustments to support near-real-time change detection

This study addresses the problem of shadows in multi-temporal imagery, which is a key issue with change detection approaches based on image comparison. We apply image-to-image radiometric normalizations including histogram matching (HM), mean-variance (MV) equalization, linear regression based on ps...

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Bibliographic Details
Main Authors: Emanuel Arnal Storey, Douglas Alan Stow, Matthew James Plummer
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:GIScience & Remote Sensing
Subjects:
Online Access:http://dx.doi.org/10.1080/15481603.2018.1489446