Urban Areas Enhancement in Multitemporal SAR RGB Images Using Adaptive Coherence Window and Texture Information

Donato Amitrano; Veronica Belfiore; Francesca Cecinati; Gerardo Di Martino; Antonio Iodice; Pierre Philippe Mathieu; Stefano Medagli; Davod Poreh; Daniele Riccio; Giuseppe Ruello

doi:10.1109/JSTARS.2016.2555340

Urban Areas Enhancement in Multitemporal SAR RGB Images Using Adaptive Coherence Window and Texture Information

Donato Amitrano, Veronica Belfiore, Francesca Cecinati, Gerardo Di Martino, Antonio Iodice, Pierre Philippe Mathieu, Stefano Medagli, Davod Poreh, Daniele Riccio, Giuseppe Ruello

Department of Architecture & Civil Engineering

Research output: Contribution to journal › Article › peer-review

38 Citations (SciVal)

Abstract

In this paper, we present a technique for improving the representation of built-up features in model-based multitemporal synthetic aperture radar (SAR) RGB composites. The proposed technique exploits the multitemporal adaptive processing (MAP3) framework to generate an a priori information which is used to implement an adaptive selection of the coherence window size. Image texture is used to support the coherence information in case of decorrelation. The coherence information, powered by texture analysis, and combined with backscattering amplitude, provides a unique representation of built-up features. This allows for an immediate detection of urban agglomerates by human operators, and is an advantaged starting point for urban area extraction algorithms.

Original language	English
Article number	7471417
Pages (from-to)	3740-3752
Number of pages	13
Journal	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume	9
Issue number	8
Early online date	18 May 2016
DOIs	https://doi.org/10.1109/JSTARS.2016.2555340
Publication status	Published - 1 Aug 2016

Keywords

Data representation
fuzzy logic
multitemporal synthetic aperture radar (SAR)
urban areas

ASJC Scopus subject areas

Computers in Earth Sciences
Atmospheric Science

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10.1109/JSTARS.2016.2555340

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Amitrano, D., Belfiore, V., Cecinati, F., Di Martino, G., Iodice, A., Mathieu, P. P., Medagli, S., Poreh, D., Riccio, D., & Ruello, G. (2016). Urban Areas Enhancement in Multitemporal SAR RGB Images Using Adaptive Coherence Window and Texture Information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(8), 3740-3752. Article 7471417. https://doi.org/10.1109/JSTARS.2016.2555340

Urban Areas Enhancement in Multitemporal SAR RGB Images Using Adaptive Coherence Window and Texture Information. / Amitrano, Donato; Belfiore, Veronica; Cecinati, Francesca et al.
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 8, 7471417, 01.08.2016, p. 3740-3752.

Research output: Contribution to journal › Article › peer-review

Amitrano, D, Belfiore, V, Cecinati, F, Di Martino, G, Iodice, A, Mathieu, PP, Medagli, S, Poreh, D, Riccio, D & Ruello, G 2016, 'Urban Areas Enhancement in Multitemporal SAR RGB Images Using Adaptive Coherence Window and Texture Information', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 8, 7471417, pp. 3740-3752. https://doi.org/10.1109/JSTARS.2016.2555340

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AU - Mathieu, Pierre Philippe

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Urban Areas Enhancement in Multitemporal SAR RGB Images Using Adaptive Coherence Window and Texture Information

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