Results 11 to 20 of about 6,889,850 (329)
Reliable and convenient walk-through security scanning, which doesn't separate people or impede their movement, is an extremely challenging task. In this paper, a novel approach for a security check with an overhead observation and a polarimetric ...
Konstantin Root +4 more
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A Hybrid Polarimetric Target Decomposition Algorithm with Adaptive Volume Scattering Model
Previous studies have shown that scattering mechanism ambiguity and negative power issues still exist in model-based polarization target decomposition algorithms, even though deorientation processing is implemented.
Xiujuan Li +6 more
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Model-Based Polarimetric Target Decomposition With Power Redistribution for Urban Areas
Polarimetric decomposition of oriented buildings is challenging due to their variable orientation angles and structures. Both vegetated and oriented built-up areas generate the HV component namely cross-polarized scattering, leading to an overestimation ...
Canbin Hu +4 more
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Decomposition Model With Background Dictionary Learning for Hyperspectral Target Detection
Representation-based target detectors for hyperspectral imagery have attracted considerable attention in recent years. However, their detection performance is still unsatisfactory due to the independent manner of the recovery process on each test pixel ...
Tongkai Cheng, Bin Wang
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The Effect of Topography on Target Decomposition of Polarimetric SAR Data
Polarimetric target decomposition enables the interpretation of radar images more easily, mostly based on physical assumptions, i.e., fitting physically-based scattering models to the polarimetric SAR observations.
Sang-Eun Park
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Independent component analysis within polarimetric incoherent target decomposition
International audienceThis paper represents a part of our efforts to generalize polarimetric incoherent target decomposition to the level of BSS techniques by introducing the ICA method instead of the conventional eigenvector decomposition.
Besic, Nikola +5 more
core +3 more sources
In this article, surface soil moisture was retrieved from Radarsat-2 and polarimetric target decomposition data by using semiempirical models and machine learning methods.
Hüseyın Acar +2 more
semanticscholar +1 more source
A ViSAR Shadow-Detection Algorithm Based on LRSD Combined Trajectory Region Extraction
Shadow detection is a new method for video synthetic aperture radar moving target indication (ViSAR-GMTI). The shadow formed by the target occlusion will reflect its real position, preventing the defocusing or offset of the moving target from making it ...
Zhongzheng Yin, Mingjie Zheng, Yuwei Ren
doaj +1 more source
Spectral tensor-train decomposition [PDF]
The accurate approximation of high-dimensional functions is an essential task in uncertainty quantification and many other fields. We propose a new function approximation scheme based on a spectral extension of the tensor-train (TT) decomposition.
Bigoni, Daniele +2 more
core +2 more sources
Scattering Mechanism Extraction by a Modified Cloude-Pottier Decomposition for Dual Polarization SAR
Dual polarization is a typical operational mode of polarimetric synthetic aperture radar (SAR). However, few studies have considered the scattering mechanism extraction of dual-polarization SARs.
Kefeng Ji, Yonghui Wu
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