Amitrano, Donato (2016) A Human-Centered Framework for the Understanding of Synthetic Aperture Radar Images. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Lingua: Italiano
Title: A Human-Centered Framework for the Understanding of Synthetic Aperture Radar Images
Creators:
CreatorsEmail
Amitrano, Donatodonato.amitrano@unina.it
Date: 31 March 2016
Number of Pages: 178
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Scuola di dottorato: Ingegneria dell'informazione
Dottorato: Ingegneria elettronica e delle telecomunicazioni
Ciclo di dottorato: 28
Coordinatore del Corso di dottorato:
nomeemail
Riccio, Danieledariccio@unina.it
Tutor:
nomeemail
Riccio, DanieleUNSPECIFIED
Date: 31 March 2016
Number of Pages: 178
Uncontrolled Keywords: synthetic aperture radar, image understanding
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/02 - Campi elettromagnetici
Date Deposited: 12 Apr 2016 21:46
Last Modified: 30 May 2019 01:00
URI: http://www.fedoa.unina.it/id/eprint/10996

Abstract

The limited usage of SAR data in the end-user community and in applicative contexts testified the failure of the recent literature, in which the research privileged the automatic extraction of information at the expense of users' experience with data. The development of new products and processing frameworks providing user-friendly representations and extraction of the physical information is a necessary condition for the full exploitation of SAR sensors. In this Book, the necessity to restore users’ centrality in remote sensing data analysis is analyzed and achieved through the introduction of two new classes of RGB SAR products obtained via multitemporal processing, whose principal characteristics are the ease of interpretation and the possibility to be processed with simple, end-user-oriented technique. These proposed approach aims to definitely fill the gap between the academy and the applications. The rationale is to provide ready-to-use images, in which the technical expertise with electromagnetic models, SAR imaging and image processing has been absorbed in the products formation phase. In such way, the idea that SAR images are too complicated to be interpreted and processed without a high technical expertise in order to extract physical information is overcame.

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