Validating the SubSAR technique for buried feature detection using satelllite SAR data

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Validating the SubSAR technique for buried feature detection using satelllite SAR data

This thesis has tested the validity of the SubSAR technique for subsurface feature detection on a field-scale experiment using Synthetic Aperture Radar (SAR) satellite data. Most of the current SAR subsurface imaging approaches are based on analysing the amplitude component of the SAR images only, w...

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Bibliographic Details
Main Author:	Athab, Ahmed Dhahir
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2020
Subjects:	DInSAR SubSAR Corner Reflectors Calibration Buried targets Soil Moisture.
Online Access:	https://eprints.nottingham.ac.uk/60564/

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