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A tutorial on synthetic aperture radar [PDF]
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 (
Moreira, Alberto +5 more
openaire +3 more sources
Doppler Factor in the Omega-k Algorithm for Pulsed and Continuous Wave Synthetic Aperture Radar Raw Data Processing [PDF]
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 +2 more sources
Hybrid Dual-Polarization Synthetic Aperture Radar
Compact polarimetry for a synthetic aperture radar (SAR) system is reviewed. Compact polarimetry (CP) is intended to provide useful polarimetric image classifications while avoiding the disadvantages of space-based quadrature-polarimetric (quad-pol) SARs.
R. Keith Raney
doaj +2 more sources
Space shuttle search and rescue experiment using synthetic aperture radar [PDF]
The feasibility of a synthetic aperture radar for search and rescue applications was demonstrated with aircraft experiments. One experiment was conducted using the ERIM four-channel radar and several test sites in the Michigan area.
W. E. Sivertson +2 more
openalex +2 more sources
Experimental Synthetic Aperture Radar with Dynamic Metasurfaces [PDF]
We investigate the use of a dynamic metasurface as the transmitting antenna for a synthetic aperture radar (SAR) imaging system. The dynamic metasurface consists of a one-dimensional microstrip waveguide with complementary electric resonator (cELC ...
Boyarsky, Michael +6 more
core +3 more sources
Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network [PDF]
Change detection from synthetic aperture radar (SAR) imagery is a critical yet challenging task. Existing methods mainly focus on feature extraction in the spatial domain, and little attention has been paid to the frequency domain.
Xiao-Xia Qu +4 more
semanticscholar +1 more source
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
Synthetic Aperture Radar (SAR) for Ocean: A Review
Oceans cover approximately 71% of the Earth's surface and provide numerous services to the environment and humans. Precise, real-time, and large-scale monitoring of the oceanographic parameters is essential for ocean conservation and understanding the ...
R. M. Asiyabi +5 more
semanticscholar +1 more source
Designing synthetic-aperture radar image formation systems can be challenging due to the numerous options of algorithms and devices that can be used.
Helena Cruz +4 more
semanticscholar +1 more source

