SAR Coherence Estimation by Composition of Subsample Estimates and Machine Learning

SAR Coherence Estimation by Composition of Subsample Estimates and Machine Learning

Synthetic aperture radar (SAR) coherence magnitude is an essential parameter in SAR interferometry. This is the reason why current interferometric wide area ground motion services require the estimation of the coherence magnitude as accurately and computationally effectively as possible. The objecti...

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Bibliographic Details
Main Author: Nico Adam
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Coherence magnitude
composite estimator
degree of coherence
distributed scatterer in SqueeSAR or CAESAR or phase linking
interferometric synthetic aperture radar (InSAR)
supervised machine learning (ML)
Online Access:https://ieeexplore.ieee.org/document/10582426/

Internet

https://ieeexplore.ieee.org/document/10582426/

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