Generative Modeling of InSAR Interferograms
Abstract Interferometric synthetic aperture radar (InSAR) has become an essential technique to detect surface variations due to volcanoes, earthquakes, landslides, glaciers, and aquifers. However, Earth's ionosphere, atmosphere, vegetation, surface runoff, etc., introduce noise that requires po...
Main Authors: | Guillaume Rongier, Cody Rude, Thomas Herring, Victor Pankratius |
---|---|
Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2019-12-01
|
Series: | Earth and Space Science |
Subjects: | |
Online Access: | https://doi.org/10.1029/2018EA000533 |
Similar Items
-
Generative Modeling of InSAR Interferograms
by: Rongier, Guillaume, et al.
Published: (2020) -
Baekdusan Volcano Time-Series Analysis from 1992 to 1998 Using Multi-Interferogram InSAR Processing
by: Chang-Wook Lee
Published: (2014-01-01) -
Estimation of Mining-Induced Horizontal Strain Tensor of Land Surface Applying InSAR
by: Wojciech T. Witkowski, et al.
Published: (2021-07-01) -
Identification of Surface Deformation in InSAR Using Machine Learning
by: Clayton M. J. Brengman, et al.
Published: (2021-03-01) -
Mechanism of deformation around northern Hejin, China, observed by InSAR
by: Ji Lingyun, et al.
Published: (2013-01-01)