Detecting shadows in multi-temporal aerial imagery to support near-real-time change detection

Detecting shadows in multi-temporal aerial imagery to support near-real-time change detection

Multi-temporal aerial imagery captured via an approach called repeat station imaging (RSI) facilitates post-hazard assessment of damage to infrastructure. Spectral-radiometric (SR) variations caused by differences in shadowing may inhibit successful change detection based on image differencing. This...

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Bibliographic Details
Main Authors: Emanuel A. Storey, Douglas A. Stow, Lloyd L. Coulter, Christopher Chen
Format: Article
Language:English
Published: Taylor & Francis Group 2017-07-01
Series:GIScience & Remote Sensing
Subjects:
shadow classification
shadow normalization
shadow detection
post-hazard damage assessment
change detection
Online Access:http://dx.doi.org/10.1080/15481603.2017.1279729

Internet

http://dx.doi.org/10.1080/15481603.2017.1279729

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