Results 61 to 70 of about 173,784 (296)
Parametric Sparse Representation and Its Applications to Radar Sensing
Leida xuebao, 2016 Sparse signal processing has been utilized to the area of radar sensing. Due to the presence of unknown factors such as the motion of the targets of interest and the error of the radar trajectory, a predesigned dictionary cannot provide the optimally ...
Li Gang, Xia Xiang-Gen
doaj +1 more source
Optics Express, 2017 A microwave photonic synthetic aperture radar (MWP SAR) is developed and experimentally demonstrated. In the transmitter, microwave photonic frequency doubling is used to generate a linearly-frequency-modulated (LFM) radar signal; while in the receiver ...
Ruoming Li +13 more
semanticscholar +1 more source
Small, EarlyView.Tailored sandwich‐type COF heterojunctions achieve optimal capacitance and energy density through H⁺ ion lamination and π‐electron conduction, demonstrating the potential for miniaturized and flexible energy storage devices. Abstract Covalent organic frameworks (COFs) nanofilms with well‐ordered channels and highly active interfaces have great ...
Xiaoyang Xu +8 more
wiley +1 more source
Tracking ocean wave spectrum from SAR images [PDF]
, 1984 An end to end algorithm for recovery of ocean wave spectral peaks from Synthetic Aperture Radar (SAR) images is described.
Beal, R. C. +3 more
core +1 more source
Synthetic Aperture Radar Target Recognition with Feature Fusion Based on a Stacked Autoencoder
Italian National Conference on Sensors, 2017 Feature extraction is a crucial step for any automatic target recognition process, especially in the interpretation of synthetic aperture radar (SAR) imagery. In order to obtain distinctive features, this paper proposes a feature fusion algorithm for SAR
Miao Kang +4 more
semanticscholar +1 more source
Structural Concrete, EarlyView.Abstract Satellite‐based Synthetic Aperture Radar Interferometry (InSAR) represents a promising supplement to traditional Structural Health Monitoring (SHM) methods, offering a non‐invasive solution that eliminates the need for sensor installations and provides extensive spatial coverage.
Pier Francesco Giordano +7 more
wiley +1 more source
Deep Learning Training Data for Phase Unwrapping of SAR Interferograms [PDF]
Geo DataPhase unwrapping is an essential process in synthetic aperture radar interferometry that restores phase signals constrained within the range of (-π, π) to their true phase values.
Won-Kyung Baek, Hyung-Sup Jung
doaj +1 more source
CLASSIFIER FUSION OF HIGH-RESOLUTION OPTICAL AND SYNTHETIC APERTURE RADAR (SAR) SATELLITE IMAGERY FOR CLASSIFICATION IN URBAN AREA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 This study concerned with fusion of synthetic aperture radar and optical satellite imagery. Due to the difference in the underlying sensor technology, data from synthetic aperture radar (SAR) and optical sensors refer to different properties of the ...
T. Alipour Fard, M. Hasanlou, H. Arefi
doaj +1 more source
Imaging for a Forward Scanning Automotive Synthetic Aperture Radar
IEEE Transactions on Aerospace and Electronic Systems, 2019 In this paper, we propose a forward scanning synthetic aperture radar methodology for a forward-looking automotive (low-terahertz) radar, which combines scene scanning with synthetic aperture processing, resulting in enhanced angular resolution and ...
S. Gishkori +3 more
semanticscholar +1 more source
Landscape patterns of shrubification in the Siberian Low Arctic: A machine learning perspective
Journal of Ecology, EarlyView.We quantified landscape patterns of Arctic shrub distribution and change in Siberian tundra by applying machine learning to paired satellite images acquired 10–15 years apart. This pipeline quantified shrub occurrence along landscape‐scale gradients in microclimate, soil moisture, and proximity to existing shrubs, revealing landscape settings that ...
Anna Derkacheva +3 more
wiley +1 more source