Model-based multitemporal SAR RGB products for land and water management

Donato Amitrano; Francesca Cecinati; Gerardo Di Martino; Antonio Iodice; Pierre Philippe Mathieu; Daniele Riccio; Giuseppe Ruello

Model-based multitemporal SAR RGB products for land and water management

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

Department of Architecture & Civil Engineering

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Abstract

In this paper, we present an innovative framework for RGB composition of multitemporal SAR data. The proposed products improve users' experience with data enhancing interpretability and allowing for information extraction using simple techniques. The characteristics of the RGB products are illustrated through examples in which their suitability with several applications is highlighted.

Original language	English
Title of host publication	Proceedings of Living Planet Symposium 2016
Publisher	European Space Agency
Number of pages	4
Volume	SP-740
ISBN (Electronic)	9789292213053
Publication status	Published - 1 Aug 2016
Event	Living Planet Symposium 2016 - Prague, Czech Republic Duration: 9 May 2016 → 13 May 2016 http://lps16.esa.int/

Conference

Conference	Living Planet Symposium 2016
Country/Territory	Czech Republic
City	Prague
Period	9/05/16 → 13/05/16
Internet address	http://lps16.esa.int/

ASJC Scopus subject areas

Aerospace Engineering
Space and Planetary Science

Cite this

@inproceedings{bdae9930f9474113b6a150ee94dc3b3f,

title = "Model-based multitemporal SAR RGB products for land and water management",

abstract = "In this paper, we present an innovative framework for RGB composition of multitemporal SAR data. The proposed products improve users' experience with data enhancing interpretability and allowing for information extraction using simple techniques. The characteristics of the RGB products are illustrated through examples in which their suitability with several applications is highlighted.",

author = "Donato Amitrano and Francesca Cecinati and {Di Martino}, Gerardo and Antonio Iodice and Mathieu, {Pierre Philippe} and Daniele Riccio and Giuseppe Ruello",

year = "2016",

month = aug,

day = "1",

language = "English",

volume = "SP-740",

booktitle = "Proceedings of Living Planet Symposium 2016",

publisher = "European Space Agency",

note = "Living Planet Symposium 2016 ; Conference date: 09-05-2016 Through 13-05-2016",

url = "http://lps16.esa.int/",

}

TY - GEN

T1 - Model-based multitemporal SAR RGB products for land and water management

AU - Amitrano, Donato

AU - Cecinati, Francesca

AU - Di Martino, Gerardo

AU - Iodice, Antonio

AU - Mathieu, Pierre Philippe

AU - Riccio, Daniele

AU - Ruello, Giuseppe

PY - 2016/8/1

Y1 - 2016/8/1

N2 - In this paper, we present an innovative framework for RGB composition of multitemporal SAR data. The proposed products improve users' experience with data enhancing interpretability and allowing for information extraction using simple techniques. The characteristics of the RGB products are illustrated through examples in which their suitability with several applications is highlighted.

AB - In this paper, we present an innovative framework for RGB composition of multitemporal SAR data. The proposed products improve users' experience with data enhancing interpretability and allowing for information extraction using simple techniques. The characteristics of the RGB products are illustrated through examples in which their suitability with several applications is highlighted.

UR - http://www.scopus.com/inward/record.url?scp=84988530003&partnerID=8YFLogxK

M3 - Chapter in a published conference proceeding

AN - SCOPUS:84988530003

VL - SP-740

BT - Proceedings of Living Planet Symposium 2016

PB - European Space Agency

T2 - Living Planet Symposium 2016

Y2 - 9 May 2016 through 13 May 2016

ER -

Model-based multitemporal SAR RGB products for land and water management

Abstract

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this