Infrastructure monitoring with spaceborne SAR sensors / Andrei Anghel, Gabriel Vasile, Remus Cacoveanu.
2017
TK6592.S95
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Title
Infrastructure monitoring with spaceborne SAR sensors / Andrei Anghel, Gabriel Vasile, Remus Cacoveanu.
Author
ISBN
9789811032172 (electronic book)
9811032173 (electronic book)
9789811032165
9811032165
9811032173 (electronic book)
9789811032165
9811032165
Published
Singapore : Springer, [2017]
Copyright
©2017
Language
English
Description
1 online resource.
Item Number
10.1007/978-981-10-3217-2 doi
Call Number
TK6592.S95
Dewey Decimal Classification
621.3848
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource, title from PDF title page (viewed March 17, 2017).
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Series
SpringerBriefs in electrical and computer engineering. Signal processing.
Available in Other Form
Print version: 9789811032165
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Table of 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.
Signal model for Synthetic Aperture Radar (SAR) Images
Scattering Centers Monitoring in SAR images
Case study: Puylaurent Water-Dam and Chastel Landslide
Conclusion.