Multitemporal synthetic aperture radar for urban planning and critical infrastructure monitoring

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

doi:10.1109/JURSE.2017.7924627

Multitemporal synthetic aperture radar for urban planning and critical infrastructure monitoring

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

2 Citations (SciVal)

Abstract

Earth observation technologies can provide a significant contribution to the monitoring urban areas and critical infrastructures. In this paper, we show how to exploit the recently introduced multitemporal SAR RGB images of the Level-1α and Level-1β family in these applications. Simple, ad hoc algorithms are discussed to adapt these generalist products to the specific case study. In particular, self-organizing map clustering and object-based image analysis are used for urban area mapping. As for infrastructure monitoring, an application concerning railway monitoring is discussed.

Original language	English
Title of host publication	2017 Joint Urban Remote Sensing Event, JURSE 2017
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	9781509058082
ISBN (Print)	9781509058099
DOIs	https://doi.org/10.1109/JURSE.2017.7924627
Publication status	Published - 10 May 2017
Event	2017 Joint Urban Remote Sensing Event, JURSE 2017 - Dubai, UAE United Arab Emirates Duration: 6 Mar 2017 → 8 Mar 2017

Conference

Conference	2017 Joint Urban Remote Sensing Event, JURSE 2017
Country/Territory	UAE United Arab Emirates
City	Dubai
Period	6/03/17 → 8/03/17

ASJC Scopus subject areas

Signal Processing
Urban Studies
Management, Monitoring, Policy and Law
Instrumentation

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10.1109/JURSE.2017.7924627

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Amitrano, D, Cecinati, F, Di Martino, G, Iodice, A, Mathieu, PP, Riccio, D & Ruello, G 2017, Multitemporal synthetic aperture radar for urban planning and critical infrastructure monitoring. in 2017 Joint Urban Remote Sensing Event, JURSE 2017., 7924627, IEEE, 2017 Joint Urban Remote Sensing Event, JURSE 2017, Dubai, UAE United Arab Emirates, 6/03/17. https://doi.org/10.1109/JURSE.2017.7924627

@inproceedings{d7fc14cf86f34f26bf1e99a9672af310,

title = "Multitemporal synthetic aperture radar for urban planning and critical infrastructure monitoring",

abstract = "Earth observation technologies can provide a significant contribution to the monitoring urban areas and critical infrastructures. In this paper, we show how to exploit the recently introduced multitemporal SAR RGB images of the Level-1α and Level-1β family in these applications. Simple, ad hoc algorithms are discussed to adapt these generalist products to the specific case study. In particular, self-organizing map clustering and object-based image analysis are used for urban area mapping. As for infrastructure monitoring, an application concerning railway monitoring is discussed.",

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

year = "2017",

month = may,

day = "10",

doi = "10.1109/JURSE.2017.7924627",

language = "English",

isbn = "9781509058099",

booktitle = "2017 Joint Urban Remote Sensing Event, JURSE 2017",

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note = "2017 Joint Urban Remote Sensing Event, JURSE 2017 ; Conference date: 06-03-2017 Through 08-03-2017",

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AU - Amitrano, Donato

AU - Cecinati, Francesca

AU - Di Martino, Gerardo

AU - Iodice, Antonio

AU - Mathieu, Pierre Philippe

AU - Riccio, Daniele

AU - Ruello, Giuseppe

PY - 2017/5/10

Y1 - 2017/5/10

N2 - Earth observation technologies can provide a significant contribution to the monitoring urban areas and critical infrastructures. In this paper, we show how to exploit the recently introduced multitemporal SAR RGB images of the Level-1α and Level-1β family in these applications. Simple, ad hoc algorithms are discussed to adapt these generalist products to the specific case study. In particular, self-organizing map clustering and object-based image analysis are used for urban area mapping. As for infrastructure monitoring, an application concerning railway monitoring is discussed.

AB - Earth observation technologies can provide a significant contribution to the monitoring urban areas and critical infrastructures. In this paper, we show how to exploit the recently introduced multitemporal SAR RGB images of the Level-1α and Level-1β family in these applications. Simple, ad hoc algorithms are discussed to adapt these generalist products to the specific case study. In particular, self-organizing map clustering and object-based image analysis are used for urban area mapping. As for infrastructure monitoring, an application concerning railway monitoring is discussed.

UR - https://www.scopus.com/pages/publications/85020214485

U2 - 10.1109/JURSE.2017.7924627

DO - 10.1109/JURSE.2017.7924627

M3 - Chapter in a published conference proceeding

AN - SCOPUS:85020214485

SN - 9781509058099

BT - 2017 Joint Urban Remote Sensing Event, JURSE 2017

PB - IEEE

T2 - 2017 Joint Urban Remote Sensing Event, JURSE 2017

Y2 - 6 March 2017 through 8 March 2017

ER -

Multitemporal synthetic aperture radar for urban planning and critical infrastructure monitoring

Abstract

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ASJC Scopus subject areas

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