Results 41 to 50 of about 15,888 (248)
An Unsupervised Generative Neural Approach for InSAR Phase Filtering and Coherence Estimation [PDF]
, 2020 Phase filtering and pixel quality (coherence) estimation is critical in producing Digital Elevation Models (DEMs) from Interferometric Synthetic Aperture Radar (InSAR) images, as it removes spatial inconsistencies (residues) and immensely improves the subsequent unwrapping.
arxiv +1 more source
Analysis of the Effect of Interference on InSAR [PDF]
IEEE Sensors Journal, 2015 Various jamming techniques have been developed to prevent interferometric synthetic aperture radar from effective detection and observation. In this paper, a thorough analysis of the jamming effects on correlation and interferometric phase is provided. To derive the jamming result, a general signal model for the interference is first presented and the ...
Jingwen Li +4 more
openaire +2 more sources
FDBP-InSAR: An Efficient Algorithm for InSAR Imaging via Frequency Domain Back Projection [PDF]
Remote Sensing, 2020 High-quality focusing with accurate phase-preserving is a significant and challenging step in interferometric synthetic aperture radar (InSAR) imaging. Compared with conventional frequency-based imaging algorithms, the time-domain back-projection algorithm (TDBPA) can greatly ensure the accuracy of imaging and phase-preserving by point-to-point ...
Shunjun Wei +5 more
openaire +3 more sources
Remote Sensing, 2019 AirSWOT is an airborne Ka-band synthetic aperture radar, capable of mapping water surface elevation (WSE) and water surface slope (WSS) using single-pass interferometry.
Michael Denbina +5 more
doaj +1 more source
UAV Formation Optimization for Communication-assisted InSAR Sensing [PDF]
arXiv, 2023 Interferometric synthetic aperture radar (InSAR) is an increasingly important remote sensing technique that enables three-dimensional (3D) sensing applications such as the generation of accurate digital elevation models (DEMs). In this paper, we investigate the joint formation and communication resource allocation optimization for a system comprising ...
arxiv
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration [PDF]
, 2020 Interferometric phase restoration has been investigated for decades and most of the state-of-the-art methods have achieved promising performances for InSAR phase restoration. These methods generally follow the nonlocal filtering processing chain aiming at circumventing the staircase effect and preserving the details of phase variations.
arxiv +1 more source
Characterizing and estimating noise in InSAR and InSAR time series with MODIS
Geochemistry, Geophysics, Geosystems, 2013 InSAR time series analysis is increasingly used to image subcentimeter displacement rates of the ground surface. The precision of InSAR observations is often affected by several noise sources, including spatially correlated noise from the turbulent atmosphere. Under ideal scenarios, InSAR time series techniques can substantially mitigate these effects;
Rowena B. Lohman +2 more
openaire +3 more sources
Geofísica Internacional, 2018 La ciudad de Morelia, en la zona central de México, ha sido afectada en años recientes por la subsidencia diferencial del suelo que se refleja en forma de fallas y fracturas en la superficie.
Gerardo Suárez +3 more
doaj +1 more source
Learning from Synthetic InSAR with Vision Transformers: The case of volcanic unrest detection [PDF]
arXiv, 2022 The detection of early signs of volcanic unrest preceding an eruption, in the form of ground deformation in Interferometric Synthetic Aperture Radar (InSAR) data is critical for assessing volcanic hazard. In this work we treat this as a binary classification problem of InSAR images, and propose a novel deep learning methodology that exploits a rich ...
arxiv
CNN-based InSAR Coherence Classification [PDF]
, 2020 Interferometric Synthetic Aperture Radar (InSAR) imagery based on microwaves reflected off ground targets is becoming increasingly important in remote sensing for ground movement estimation. However, the reflections are contaminated by noise, which distorts the signal's wrapped phase.
arxiv +1 more source