Sentinel-1 multitemporal SAR products

Donato Amitrano, Francesca Cecinati, Gerardo Di Martino, Antonio Iodice, Daniele Riccio, Giuseppe Ruello

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we present a new framework for high-level processing of time series images, with particular reference to Sentinel-1 data. The proposed methodology has the goal of enhancing the interpretation of SAR imagery through the production of physical-based RGB composites, which are particularly suited for being easily interpreted by the human photo-interpreter, lowering the expertise level required for managing SAR data.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherIEEE
Pages3973-3976
Number of pages4
Volume2015-November
ISBN (Electronic)9781479979295
DOIs
Publication statusPublished - 10 Nov 2015
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
CountryItaly
CityMilan
Period26/07/1531/07/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Amitrano, D., Cecinati, F., Di Martino, G., Iodice, A., Riccio, D., & Ruello, G. (2015). Sentinel-1 multitemporal SAR products. In 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings (Vol. 2015-November, pp. 3973-3976). [7326695] IEEE. https://doi.org/10.1109/IGARSS.2015.7326695