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Synthetic aperture radar tomography for change detection applications


Mendez Dominguez, Elias; Small, David; Henke, Daniel (2019). Synthetic aperture radar tomography for change detection applications. In: 2019 Joint Urban Remote Sensing Event (JURSE), Vannes, France, 22 May 2019 - 24 May 2019.

Abstract

Tomographic synthetic aperture radar (TomoSAR) can broaden the scope of change detection applications for urban studies, human activity and forest monitoring. In this work we design and evaluate a method utilizing SAR tomography for change detection purposes applied to human activity monitoring and urban studies. The method uses 2-D images to detect changes caused by targets with a small vertical extent, and 3-D images for changes caused by targets with a large vertical extent. It exploits both amplitude and height difference information combined in a conditional random field to detect changes of interest. A significant performance improvement was obtained when comparing to methods using 2-D or 3-D images only.

Abstract

Tomographic synthetic aperture radar (TomoSAR) can broaden the scope of change detection applications for urban studies, human activity and forest monitoring. In this work we design and evaluate a method utilizing SAR tomography for change detection purposes applied to human activity monitoring and urban studies. The method uses 2-D images to detect changes caused by targets with a small vertical extent, and 3-D images for changes caused by targets with a large vertical extent. It exploits both amplitude and height difference information combined in a conditional random field to detect changes of interest. A significant performance improvement was obtained when comparing to methods using 2-D or 3-D images only.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Event End Date:24 May 2019
Deposited On:30 Jan 2020 16:05
Last Modified:27 Feb 2020 04:17
Publisher:IEEE
ISBN:978-1-7281-0009-8
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/jurse.2019.8808937
Official URL:https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8808937

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