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It is well known that multi-temporal series of synthetic aperture radar (SAR) data are able to provide interesting clues about temporal evolution of some land covers. In this work, a per-segment approach based on the use of ancillary geographic information system data is proposed. The results of a test case show the effectiveness of the technique and its usefulness for quickly detecting changes from rural to urban land uses and discriminating to some extent different urban dynamics.

Geographic information system (GIS)-aided per-segment scene analysis of multitemporal spaceborne synthetic aperture radar (SAR) series with application to urban areas

TRIANNI, GIOVANNA;DELL'ACQUA, FABIO;GAMBA, PAOLO ETTORE
2010-01-01

Abstract

It is well known that multi-temporal series of synthetic aperture radar (SAR) data are able to provide interesting clues about temporal evolution of some land covers. In this work, a per-segment approach based on the use of ancillary geographic information system data is proposed. The results of a test case show the effectiveness of the technique and its usefulness for quickly detecting changes from rural to urban land uses and discriminating to some extent different urban dynamics.
2010
Information Systems & Communications Technology covers resources concerned with the technical aspects of information systems and information technology, including the acquisition, processing, storage, management, and dissemination of information. This category also covers the technical aspects of communications via various devices and systems.
The Aerospace Engineering category covers engineering-based resources in astronautics, aeronautics, aerospace, and aviation. Topics include the design and construction of aircraft, space vehicles, missiles, satellites, instrumentation, and power units, as well as the launch, flight, and guidance of crafts in the earth's atmosphere or in space.
INTERNATIONAL JOURNAL OF REMOTE SENSING
sì
WOS:000284956500015
2-s2.0-78649884842
Esperti anonimi
Inglese
Internazionale
STAMPA
31
22
6005
6014
9
Special Issue: Spatial Information Retrieval, Analysis, Reasoning and Modelling
Land cover, Multi-temporal, Multi-temporal series, Scene analysis, Spaceborne synthetic aperture radars, Temporal evolution, Test case, Urban areas, Urban dynamics, Urban land use
http://www.tandfonline.com/doi/abs/10.1080/01431161.2010.512304
no
3
info:eu-repo/semantics/article
262
Trianni, Giovanna; Dell'Acqua, Fabio; Gamba, PAOLO ETTORE
1 Contributo su Rivista::1.1 Articolo in rivista
none
1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/429786
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