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A back-projection tomographic framework for VHR SAR image change detection


Mendez Dominguez, Elias; Magnard, Christophe; Meier, Erich; Small, David; Schaepman, Michael E; Henke, Daniel (2019). A back-projection tomographic framework for VHR SAR image change detection. IEEE Transactions on Geoscience and Remote Sensing, 57(7):4470-4484.

Abstract

Information on 3-D structure expands the scope of change detection applications, for example, in urban studies, human activity, and forest monitoring. Current change detection methods do not fully consider the specifics of SAR data or the properties of the corresponding image focusing techniques. We propose a three-stage method complementing the properties of 2-D and 3-D very high-resolution (VHR) synthetic aperture radar imagery to improve the performance of 2-D only approaches. The method takes advantage of back-projection tomography to ease translation of the 2-D location of the targets into their corresponding 3-D location and vice versa. Detection of changes caused by objects with a small vertical extent is based on the corresponding backscatter difference, while changes caused by objects with a large vertical extent are detected with both
backscatter and height difference information combined in a conditional random field. Using multitemporal images, the kappa coefficient improved by a factor of two in comparison with traditional schemes.

Abstract

Information on 3-D structure expands the scope of change detection applications, for example, in urban studies, human activity, and forest monitoring. Current change detection methods do not fully consider the specifics of SAR data or the properties of the corresponding image focusing techniques. We propose a three-stage method complementing the properties of 2-D and 3-D very high-resolution (VHR) synthetic aperture radar imagery to improve the performance of 2-D only approaches. The method takes advantage of back-projection tomography to ease translation of the 2-D location of the targets into their corresponding 3-D location and vice versa. Detection of changes caused by objects with a small vertical extent is based on the corresponding backscatter difference, while changes caused by objects with a large vertical extent are detected with both
backscatter and height difference information combined in a conditional random field. Using multitemporal images, the kappa coefficient improved by a factor of two in comparison with traditional schemes.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Uncontrolled Keywords:Electrical and Electronic Engineering, General Earth and Planetary Sciences
Language:English
Date:1 July 2019
Deposited On:18 Dec 2019 14:17
Last Modified:19 Dec 2019 08:37
Publisher:Institute of Electrical and Electronics Engineers
ISSN:1558-0644
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/tgrs.2019.2891308

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