Results 61 to 70 of about 329,290 (236)
Amplitude-Phase CNN-Based SAR Target Classification via Complex-Valued Sparse Image
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 It is known that a synthetic aperture radar (SAR) image obtained by matched filtering (MF)-based algorithms always suffers from serious noise, sidelobes, and clutters.
Jiarui Deng +4 more
doaj +1 more source
Numerical study on signatures of atmospheric convective cells in radar images of the ocean
, 1999 Current and wind variations at the ocean surface can give rise to a modulation of the sea surface roughness and thus become visible in radar images. The discrimination between radar signatures of oceanic and atmospheric phenomena can be quite difficult ...
Alpers +13 more
core +1 more source
IET Signal Processing, 2022 To protect the satellite communication uplink signal (SCUS) from being intercepted by an eavesdropper, this study proposes several tactics to ensure SCUS being in the low probability of intercept (LPI) state.
Fei Wang +4 more
doaj +1 more source
LPI Optimization Framework for Radar Network Based on Minimum Mean-Square Error Estimation
Entropy, 2017 This paper presents a novel low probability of intercept (LPI) optimization framework in radar network by minimizing the Schleher intercept factor based on minimum mean-square error (MMSE) estimation.
Ji She +3 more
doaj +1 more source
Bootstrapping Autonomous Driving Radars with Self-Supervised Learning [PDF]
arXiv, 2023 The perception of autonomous vehicles using radars has attracted increased research interest due its ability to operate in fog and bad weather. However, training radar models is hindered by the cost and difficulty of annotating large-scale radar data.
arxiv
Segmentation for radar images based on active contour [PDF]
arXiv, 2009 We exam various geometric active contour methods for radar image segmentation. Due to special properties of radar images, we propose our new model based on modified Chan-Vese functional. Our method is efficient in separating non-meteorological noises from meteorological images.
arxiv
, 2013 The article of record as published may be found at http://dx.doi.org/1088/0266-5611/29/5/050301Because of their ability to operate without regard to day, night or weather conditions, radar systems are ubiquitous in remote sensing operations and are used
Borden, Brett, Cheney, Margaret
core +1 more source
Quality Assessment of SAR-to-Optical Image Translation
Remote Sensing, 2020 Synthetic aperture radar (SAR) images contain severe speckle noise and weak texture, which are unsuitable for visual interpretation. Many studies have been undertaken so far toward exploring the use of SAR-to-optical image translation to obtain near ...
Jiexin Zhang +4 more
doaj +1 more source
Multiple feature-enhanced synthetic aperture radar imaging [PDF]
, 2009 Non-quadratic 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 +1 more source
Radar Artifact Labeling Framework (RALF): Method for Plausible Radar Detections in Datasets [PDF]
arXiv, 2020 Research on localization and perception for Autonomous Driving is mainly focused on camera and LiDAR datasets, rarely on radar data. Manually labeling sparse radar point clouds is challenging. For a dataset generation, we propose the cross sensor Radar Artifact Labeling Framework (RALF).
arxiv