Identification of Structurally Damaged Areas in Airborne Oblique Images Using a Visual-Bag-of-Words Approach

Identification of Structurally Damaged Areas in Airborne Oblique Images Using a Visual-Bag-of-Words Approach

Automatic post-disaster mapping of building damage using remote sensing images is an important and time-critical element of disaster management. The characteristics of remote sensing images available immediately after the disaster are not certain, since they may vary in terms of capturing platform,...

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Bibliographic Details
Main Authors: Anand Vetrivel, Markus Gerke, Norman Kerle, George Vosselman
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Remote Sensing
Subjects:
damage detection
feature representation
oblique airborne images
supervised learning
texture
UAV
Visual-Bag-of-Words
Online Access:http://www.mdpi.com/2072-4292/8/3/231

Internet

http://www.mdpi.com/2072-4292/8/3/231

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