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Change detection between multi-band images using a robust fusion-based approach

Ferraris, Vinicius and Dobigeon, Nicolas and Wei, Qi and Chabert, Marie Change detection between multi-band images using a robust fusion-based approach. (2017) In: 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), 5 March 2017 - 9 March 2017 (New Orleans, United States).

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Official URL: http://dx.doi.org/10.1109/ICASSP.2017.7952776

Abstract

This paper proposes a robust fusion-based strategy to detect changes between two multi-band optical images with different spatial and spectral resolutions, e.g., a multispectral high spatial resolution image and a hyperspectral low spatial resolution image. The dissimilarity between sensor resolutions makes the change detection problem challenging, which has been generally bypassed in the literature: most often, the two images are crudely and independently resampled in order to get the same spatial and spectral resolutions and finally, classical change detection methods are applied. However, the resampling operation tends to lose information. In this paper, we propose a method that more effectively uses the available information: the two observed images are respectively modeled as spatial and spectral degradations of two latent images characterized by the same high spatial and high spectral resolutions. Representing the same scene, these latent images are expected to be globally similar except for possible changes in sparse spatial locations. Change detection is then envisioned through the solution of an inverse problem, shown to be a specific instance of multi-band image fusion. The proposed method is applied to real images with simulated realistic changes. A comparison with state-of-the-art change detection methods evidences the proposed method superiority.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of ICASSP 2017. Electronic ISBN: 978-1-5090-4117-6 Electronic ISSN: 2379-190X The original PDF of the article can be found at: http://ieeexplore.ieee.org/document/7952776/ Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-01782555
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Other partners > University of Cambridge (UNITED KINGDOM)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:28 Mar 2018 09:52

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