Results 11 to 20 of about 1,634,404 (238)

Inverse Synthetic Aperture Radar [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2006
n ...
Chen Victor   +6 more
doaj   +7 more sources

A tutorial on synthetic aperture radar [PDF]

open access: yesIEEE Geoscience and Remote Sensing Magazine, 2013
Synthetic Aperture Radar (SAR) has been widely used for Earth remote sensing for more than 30 years. It provides high-resolution, day-and-night and weather-independent images for a multitude of applications ranging from geoscience and climate change research, environmental and Earth system monitoring, 2-D and 3-D mapping, change detection, 4-D mapping (
Irena Hajnsek   +2 more
exaly   +3 more sources

Compressed Synthetic Aperture Radar [PDF]

open access: yesIEEE Journal on Selected Topics in Signal Processing, 2010
In this paper, we introduce a new synthetic aperture radar (SAR) imaging modality which can provide a high-resolution map of the spatial distribution of targets and terrain using a significantly reduced number of needed transmitted and/or received electromagnetic waveforms.
Vishal M Patel   +2 more
exaly   +3 more sources

Compressive Sensing for Ground Based Synthetic Aperture Radar

open access: yesRemote Sensing, 2018
Compressive sensing (CS) is a recent technique that promises to dramatically speed up the radar acquisition. Previous works have already tested CS for ground-based synthetic aperture radar (GBSAR) performing preliminary simulations or carrying out ...
Massimiliano Pieraccini   +2 more
doaj   +3 more sources

Geosynchronous synthetic aperture radar: design and applications [PDF]

open access: yes, 2009
Synthetic Aperture Radar (SAR) imaging from geosynchronous orbit has significant potential advantages over conventional low-Earth orbit (LEO) radars, but also challenges to overcome.
Bruno, Davide
core   +7 more sources

Uncertainty Estimation for Deep Learning-Based Segmentation of Roads in Synthetic Aperture Radar Imagery

open access: yesRemote Sensing, 2021
Mission-critical applications that rely on deep learning (DL) for automation suffer because DL models struggle to provide reliable indicators of failure.
Jarrod Haas, Bernhard Rabus
doaj   +1 more source

The normalised Sentinel-1 Global Backscatter Model, mapping Earth’s land surface with C-band microwaves

open access: yesScientific Data, 2021
Measurement(s) C-band radar backscatter • extent of permanent water bodies Technology Type(s) Synthetic Aperture Radar (SAR) • Synthetic Aperture Radar (SAR) normalised mosaic Factor Type(s) radar backscatter Sample Characteristic - Environment land ...
Bernhard Bauer-Marschallinger   +11 more
doaj   +1 more source

InSAR as a tool for monitoring hydropower projects: A review

open access: yesEnergy Geoscience, 2022
This paper provides a review of using Interferometric Synthetic Aperture Radar (InSAR), a microwave remote sensing technique, for deformation monitoring of hydroelectric power projects, a critical infrastructure that requires consistent and reliable ...
J. Aswathi   +4 more
doaj   +1 more source

Doppler Factor in the Omega-k Algorithm for Pulsed and Continuous Wave Synthetic Aperture Radar Raw Data Processing

open access: yesApplied Sciences, 2023
Synthetic aperture radar (SAR) raw data do not have a direct application; therefore, SAR raw signal processing algorithms are used to generate images that are used for various required applications.
Jhohan Jancco-Chara   +4 more
doaj   +1 more source

Evaluation of the change in synthetic aperture radar imaging using transfer learning and residual network

open access: yesКомпьютерная оптика, 2021
Change detection from synthetic aperture radar images becomes a key technique to detect change area related to some phenomenon as flood and deformation of the earth surface.
I. Hamdi   +3 more
doaj   +1 more source

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