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Proceedings Paper

An end-user-oriented framework for RGB representation of multitemporal SAR images and visual data mining
Author(s): Donato Amitrano; Francesca Cecinati; Gerardo Di Martino; Antonio Iodice; Pierre-Philippe Mathieu; Daniele Riccio; Giuseppe Ruello
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Paper Abstract

In this paper, we present a new framework for the generation of two new classes of RGB products derived from multitemporal SAR data. The aim of our processing chain is to provide products characterized by a high degree of interpretability (thanks to a consistent rendering of the underlying electromagnetic scattering mechanisms) and by the possibility to be exploited in combination with simple algorithms for information extraction. The physical rationale of the proposed RGB products is presented through examples highlighting their principal properties. Finally, the suitability of these products with applications is demonstrated through two examples dealing with feature extraction and classification activities.

Paper Details

Date Published: 18 October 2016
PDF: 7 pages
Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 100040Y (18 October 2016); doi: 10.1117/12.2241257
Show Author Affiliations
Donato Amitrano, Univ. of Napoli Federico II (Italy)
Francesca Cecinati, European Space Agency (Italy)
Gerardo Di Martino, Univ. of Napoli Federico II (Italy)
Antonio Iodice, Univ. of Napoli Federico II (Italy)
Pierre-Philippe Mathieu, European Space Agency (Italy)
Daniele Riccio, Univ. of Napoli Federico II (Italy)
Giuseppe Ruello, Univ. of Napoli Federico II (Italy)

Published in SPIE Proceedings Vol. 10004:
Image and Signal Processing for Remote Sensing XXII
Lorenzo Bruzzone; Francesca Bovolo, Editor(s)

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