Results 101 to 110 of about 199,781 (299)
ABSTRACT Landslides represent one of the most prevalent natural disasters worldwide, exerting significant adverse effects on social stability and economic development. Timely and accurate monitoring of landslide changes is crucial for disaster prevention and mitigation.
Mengxi Sun, Hui Cao, Yansong Duan
wiley +1 more source
High-Resolution ISAR Imaging With Sparse Aperture VFM Waveforms Under Low SNR Condition
In recent years, the compressed sensing theory has been widely used in sparse aperture radar imaging. The inverse synthetic aperture radar (ISAR) imaging based on the sparse aperture echo of V-style frequency modulation (V-FM) waveform, which can ...
Jiyuan Chen+4 more
doaj +1 more source
A Multiple Radar Approach for Automatic Target Recognition of Aircraft using Inverse Synthetic Aperture Radar [PDF]
Along with the improvement of radar technologies, Automatic Target Recognition (ATR) using Synthetic Aperture Radar (SAR) and Inverse SAR (ISAR) has come to be an active research area. SAR/ISAR are radar techniques to generate a two-dimensional high-resolution image of a target. Unlike other similar experiments using Convolutional Neural Networks (CNN)
arxiv
3D Near-Field Virtual MIMO-SAR Imaging Using FMCW Radar Systems at 77 GHz [PDF]
In this paper, we present 3D high resolution radar imaging at millimeter-Wave (mmWave) frequencies by means of a combination of virtual Multiple Input Multiple Output (MIMO) Frequency Modulated Continuous Wave (FMCW) Radars and Synthetic Aperture Radar (SAR) which results in a compact, low-cost, and high-speed 3D mmWave imagery system with low ...
arxiv
ABSTRACT Recent decline of sea ice in the Barents Sea represents a clear manifestation of the ongoing Arctic warming. This study presents a compilation of data sets on sea ice physics acquired during 2018–2022 during Nansen Legacy—a Norwegian multidisciplinary national research programme that focused on the northern Barents Sea.
Dmitry V. Divine+9 more
wiley +1 more source
Computational polarimetric microwave imaging [PDF]
We propose a polarimetric microwave imaging technique that exploits recent advances in computational imaging. We utilize a frequency-diverse cavity-backed metasurface, allowing us to demonstrate high-resolution polarimetric imaging using a single ...
Fromenteze, Thomas+5 more
core +6 more sources
Autofocus approach for sparse aperture inverse synthetic aperture radar imaging
In the inverse synthetic aperture radar imaging, the autofocus is a required step for generating high‐quality images. However, due to many factors, the aperture data may be sparse so that the classical motion compensation approaches and imaging algorithms are not proper. On the basis of the compressed sensing technique and two optimisation methods (the
Jianjun Gao, Fulin Su, Da Xiao
openaire +2 more sources
Fast Compressed Sensing SAR Imaging based on Approximated Observation
In recent years, compressed sensing (CS) has been applied in the field of synthetic aperture radar (SAR) imaging and shows great potential. The existing models are, however, based on application of the sensing matrix acquired by the exact observation ...
Fang, Jian+4 more
core +1 more source
Mapping saline groundwater under rice‐paddy fields in Vietnam's Mekong Delta
Abstract Climate change, decreased river flow and land subsidence lead to saltwater intrusion posing a significant threat to rice production in Vietnam's Mekong Delta (VMD), one of the world's largest rice exporting regions. Soil salinity in the VMD can be caused by saltwater intrusion into lowland areas through the canal system, or by capillary rise ...
Van Hong Nguyen+3 more
wiley +1 more source
Multiple feature-enhanced SAR imaging using sparsity in combined dictionaries [PDF]
Nonquadratic regularization-based image formation is a recently proposed framework for feature-enhanced radar imaging. Specific image formation techniques in this framework have so far focused on enhancing one type of feature, such as strong point ...
Cetin, Mujdat+3 more
core +2 more sources