Urban areas extraction from multitemporal SAR RGB images using interferometric coherence and textural information

Donato Amitrano; Francesca Cecinati; Gerardo Di Martino; Antonio Iodice; Deniele Riccio; Giuseppe Ruello

Urban areas extraction from multitemporal SAR RGB images using interferometric coherence and textural information

Donato Amitrano, Francesca Cecinati, Gerardo Di Martino, Antonio Iodice, Deniele 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

1 Citation (SciVal)

Abstract

In this paper, we introduce an innovative methodology for urban areas extraction based on a new class of multitemporal colour composite products. As first, we propose a method for enhancing the coherence characteristic of the image adapting the dimension of the main window to the scene target. Thus, we show how to link this property with a colour attribute, which is combined with textural information to form the final fuzzy urban areas map.

Original language	English
Title of host publication	Proceedings of FRINGE 2015
Subtitle of host publication	Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop
Publisher	European Space Agency
Number of pages	5
Volume	SP-731
ISBN (Electronic)	9789292212957
Publication status	Published - 1 May 2015
Event	Fringe 2015 Workshop - Frascati, Italy Duration: 23 Mar 2015 → 27 Mar 2015

Conference

Conference	Fringe 2015 Workshop
Country/Territory	Italy
City	Frascati
Period	23/03/15 → 27/03/15

ASJC Scopus subject areas

Aerospace Engineering
Space and Planetary Science

Access to Document

http://proceedings.esa.int/files/114.pdf

Cite this

Amitrano, D., Cecinati, F., Di Martino, G., Iodice, A., Riccio, D., & Ruello, G. (2015). Urban areas extraction from multitemporal SAR RGB images using interferometric coherence and textural information. In Proceedings of FRINGE 2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop (Vol. SP-731). European Space Agency. http://proceedings.esa.int/files/114.pdf

Urban areas extraction from multitemporal SAR RGB images using interferometric coherence and textural information. / Amitrano, Donato; Cecinati, Francesca; Di Martino, Gerardo et al.
Proceedings of FRINGE 2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop. Vol. SP-731 European Space Agency, 2015.

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

Amitrano, D, Cecinati, F, Di Martino, G, Iodice, A, Riccio, D & Ruello, G 2015, Urban areas extraction from multitemporal SAR RGB images using interferometric coherence and textural information. in Proceedings of FRINGE 2015: Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop. vol. SP-731, European Space Agency, Fringe 2015 Workshop, Frascati, Italy, 23/03/15. <http://proceedings.esa.int/files/114.pdf>

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title = "Urban areas extraction from multitemporal SAR RGB images using interferometric coherence and textural information",

abstract = "In this paper, we introduce an innovative methodology for urban areas extraction based on a new class of multitemporal colour composite products. As first, we propose a method for enhancing the coherence characteristic of the image adapting the dimension of the main window to the scene target. Thus, we show how to link this property with a colour attribute, which is combined with textural information to form the final fuzzy urban areas map.",

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

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language = "English",

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AU - Amitrano, Donato

AU - Cecinati, Francesca

AU - Di Martino, Gerardo

AU - Iodice, Antonio

AU - Riccio, Deniele

AU - Ruello, Giuseppe

PY - 2015/5/1

Y1 - 2015/5/1

N2 - In this paper, we introduce an innovative methodology for urban areas extraction based on a new class of multitemporal colour composite products. As first, we propose a method for enhancing the coherence characteristic of the image adapting the dimension of the main window to the scene target. Thus, we show how to link this property with a colour attribute, which is combined with textural information to form the final fuzzy urban areas map.

AB - In this paper, we introduce an innovative methodology for urban areas extraction based on a new class of multitemporal colour composite products. As first, we propose a method for enhancing the coherence characteristic of the image adapting the dimension of the main window to the scene target. Thus, we show how to link this property with a colour attribute, which is combined with textural information to form the final fuzzy urban areas map.

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M3 - Chapter in a published conference proceeding

AN - SCOPUS:84961783240

VL - SP-731

BT - Proceedings of FRINGE 2015

PB - European Space Agency

T2 - Fringe 2015 Workshop

Y2 - 23 March 2015 through 27 March 2015

ER -

Urban areas extraction from multitemporal SAR RGB images using interferometric coherence and textural information

Abstract

Conference

ASJC Scopus subject areas

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