Results 41 to 50 of about 63,432 (250)

Spatio-Temporal Quality Indicators for Differential Interferometric Synthetic Aperture Radar Data [PDF]

open access: yesRemote Sensing, 2022
Satellite-based interferometric synthetic aperture radar (InSAR) is an invaluable technique in the detection and monitoring of changes on the surface of the earth. Its high spatial coverage, weather friendly and remote nature are among the advantages of the tool.
Yismaw Wassie   +5 more
openaire   +7 more sources

A Geometric View of Closure Phases in Interferometry [PDF]

open access: yesPublications of the Astronomical Society of Australia, 39, e014 (2022), 2020
Closure phase is the phase of a closed-loop product of correlations in a $\ge 3$-element interferometer array. Its invariance to element-based phase corruption makes it invaluable for interferometric applications that otherwise require high-accuracy phase calibration.
arxiv   +1 more source

Fundamental Radar Properties: Hidden Variables in Spacetime [PDF]

open access: yes, 2001
A derivation of the properties of pulsed radiative imaging systems is presented with examples drawn from conventional, synthetic aperture, and interferometric radar. A geometric construction of the space and time components of a radar observation yields a simple underlying structural equivalence between many of the properties of radar, including ...
arxiv   +1 more source

Mapping ice-shelf flow with interferometric synthetic aperture radar stacking [PDF]

open access: yesJournal of Glaciology, 2012
AbstractInterferometric synthetic aperture radar (InSAR) observations of ice-shelf flow contain ocean-tide and atmospheric-pressure signals. A model-based correction can be applied, but this method is limited by its dependency upon model accuracy, which in remote regions can be uncertain. Here we describe a method to determine two-dimensional ice-shelf
Mcmillan, Malcolm   +6 more
openaire   +5 more sources

Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning

open access: yesNature Communications, 2021
A deep neural network is developed to automatically extract ground deformation from Interferometric Synthetic Aperture Radar time series. Applied to data over the North Anatolian Fault, the method can detect 2 mm deformation transients and reveals a slow
Bertrand Rouet-Leduc   +4 more
doaj   +1 more source

CNN-based InSAR Coherence Classification [PDF]

open access: yes, 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

ScanSAR Interferometry of the Gaofen-3 Satellite with Unsynchronized Repeat-Pass Images

open access: yesSensors, 2019
Gaofen-3 is a Chinese remote sensing satellite with multiple working modes, among which the scanning synthetic aperture radar (ScanSAR) mode is used for wide-swath imaging.
Zaoyu Sun, Anxi Yu, Zhen Dong, Hui Luo
doaj   +1 more source

A Novel Phase Unwrapping Method Used for Monitoring the Land Subsidence in Coal Mining Area Based on U-Net Convolutional Neural Network

open access: yesFrontiers in Earth Science, 2021
Large-scale and high-intensity mining underground coal has resulted in serious land subsidence. It has caused a lot of ecological environment problems and has a serious impact on the sustainable development of economy.
Zhiyong Wang   +5 more
doaj   +1 more source

Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016

open access: yesRemote Sensing, 2020
We measure transient deformation at Coso geothermal field using interferometric synthetic aperture radar (InSAR) data acquired between 2004 and 2016 and relative positions estimated from global positioning system (GPS) to quantify relationships between ...
Elena C. Reinisch   +4 more
doaj   +1 more source

Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
This paper presents an interdisciplinary perspective of the next generation of spaceborne remote sensors applied to wildland fire management. We highlight the potential improvements in fuel characterization at large scale arising from the use of new spaceborne instruments with near‐global, freely‐available data.
Rodrigo V. Leite   +10 more
wiley   +1 more source

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