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Infrastructure Monitoring with Spaceborne SAR Sensors [electronic resource] / by ANDREI ANGHEL, GABRIEL VASILE, REMUS CACOVEANU.

By: ANGHEL, ANDREI [author.].
Contributor(s): VASILE, GABRIEL [author.] | CACOVEANU, REMUS [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Signal Processing: Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XII, 79 p. 41 illus., 37 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811032172.Subject(s): Signal processing | Computer vision | Information visualization | Signal, Speech and Image Processing | Computer Vision | Data and Information VisualizationAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Introduction -- Signal model for Synthetic Aperture Radar (SAR) Images -- Scattering Centers Monitoring in SAR images -- Case study: Puylaurent Water-Dam and Chastel Landslide -- Conclusion.
In: Springer Nature eBookSummary: 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.
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Introduction -- Signal model for Synthetic Aperture Radar (SAR) Images -- Scattering Centers Monitoring in SAR images -- Case study: Puylaurent Water-Dam and Chastel Landslide -- Conclusion.

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.

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