Interferometric SAR Coherence Magnitude Estimation by Machine Learning

Interferometric SAR Coherence Magnitude Estimation by Machine Learning

Current interferometric wide area ground motion services require the estimation of the coherence magnitude as accurately and computationally effectively as possible. However, a precise and at the same time computationally efficient method is missing. Therefore, the objective of this article is to im...

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Bibliographic Details
Main Author: Nico Adam
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Coherence magnitude
gradient boosted trees
supervised machine learning (ML)
degree of coherence
distributed scatterer in SqueeSAR or CESAR or phase linking
interferometric SAR (InSAR)
Online Access:https://ieeexplore.ieee.org/document/10068755/

Internet

https://ieeexplore.ieee.org/document/10068755/

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