Infrastructure Monitoring with Spaceborne SAR Sensors

This book presents a novel non-intrusive infrastructure monitoring technique based on the detection and tracking of scattering centers in spaceborne SAR images. The methodology essentially consists of refocusing each available SAR image on an imposed 3D point cloud associated to the envisaged infras...

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Bibliographic Details
Main Authors: ANGHEL, ANDREI., VASILE, GABRIEL. (Author), CACOVEANU, REMUS. (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2017, 2017
Edition:1st ed. 2017
Series:SpringerBriefs in Signal Processing
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Infrastructure Monitoring with Spaceborne SAR Sensors  |h Elektronische Ressource  |c by ANDREI ANGHEL, GABRIEL VASILE, REMUS CACOVEANU. 
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505 0 |a Introduction -- Signal model for Synthetic Aperture Radar (SAR) Images -- Scattering Centers Monitoring in SAR images -- Case study: Puylaurent Water-Dam and Chastel Landslide -- Conclusion 
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653 |a Computer Vision 
653 |a Information visualization 
653 |a Signal, Speech and Image Processing 
653 |a Signal processing 
653 |a Data and Information Visualization 
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700 1 |a CACOVEANU, REMUS.  |e [author] 
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520 |a This book presents a novel non-intrusive infrastructure monitoring technique based on the detection and tracking of scattering centers in spaceborne SAR images. The methodology essentially consists of refocusing each available SAR image on an imposed 3D point cloud associated to the envisaged infrastructure element and identifying the reliable scatterers to be monitored by means of four dimensional (4D) tomography. The methodology described in this book provides a new perspective on infrastructure monitoring with spaceborne SAR images, is based on a standalone processing chain, and brings innovative technical aspects relative to conventional approaches. The book is intended primarily for professionals and researchers working in the area of critical infrastructure monitoring by radar remote sensing