Results 251 to 260 of about 6,889,850 (329)
Some of the next articles are maybe not open access.
Compact Polarimetric SAR Interferometry Target Decomposition With the Freeman–Durden Method
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018In this paper, we apply the Freeman–Durden decomposition method to the compact polarimetric synthetic aperture radar (SAR) interferometry (C-PolInSAR) data.
Kuoye Han +3 more
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2023
Single-frame infrared small target detection (SF-IRSTD) has grown in popularity due to its broad application. Several models based on low-rank and sparse decomposition (LRSD) have been proposed recently and have shown excellent performance. Nevertheless,
Yujia Liu +5 more
semanticscholar +1 more source
Single-frame infrared small target detection (SF-IRSTD) has grown in popularity due to its broad application. Several models based on low-rank and sparse decomposition (LRSD) have been proposed recently and have shown excellent performance. Nevertheless,
Yujia Liu +5 more
semanticscholar +1 more source
A Coarse-to-Fine Hyperspectral Target Detection Method Based on Low-Rank Tensor Decomposition
IEEE Transactions on Geoscience and Remote Sensing, 2023To solve the problem of low target detection accuracy caused by the related quantities such as background, target, and noise contained in hyperspectral images (HSIs), considering the use of the spatial spectrum and spectral characteristics while ...
Shou Feng +5 more
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2018
Extracting information from a polarimetric radar representation usually consists in decomposing it with target decomposition algorithms. This first step can be seen as a geometric analysis of the polarimetric information: the identification of physical ...
S. Giordano, G. Mercier, J. Rudant
semanticscholar +1 more source
Extracting information from a polarimetric radar representation usually consists in decomposing it with target decomposition algorithms. This first step can be seen as a geometric analysis of the polarimetric information: the identification of physical ...
S. Giordano, G. Mercier, J. Rudant
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing
Polarimetric synthetic aperture radar (PolSAR) target decomposition is an effective way to obtain the scattering mechanism information. However, the problem of volume scattering overestimation in rotated built-up areas has not been completely addressed ...
Zhuang Di, Lamei Zhang, B. Zou
semanticscholar +1 more source
Polarimetric synthetic aperture radar (PolSAR) target decomposition is an effective way to obtain the scattering mechanism information. However, the problem of volume scattering overestimation in rotated built-up areas has not been completely addressed ...
Zhuang Di, Lamei Zhang, B. Zou
semanticscholar +1 more source
Canonical Huynen decomposition of radar targets
SPIE Proceedings, 2015Huynen decomposition prefers the world of basic symmetry and regularity (SR) in which we live. However, this preference restricts its applicability to ideal SR scatterer only. As for the complex non-symmetric (NS) and irregular (IR) scatterers such as forest and building, Huynen decomposition fails to analyze their scattering.
Dong Li, Yunhua Zhang
openaire +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2022
Due to the orientation variation and structural complexity, designing generalized and unified features to highlight manmade target scattering from polarimetric synthetic aperture radar (PolSAR) data is challenging. Inspired by the thought of mathematical
Sinong Quan +4 more
semanticscholar +1 more source
Due to the orientation variation and structural complexity, designing generalized and unified features to highlight manmade target scattering from polarimetric synthetic aperture radar (PolSAR) data is challenging. Inspired by the thought of mathematical
Sinong Quan +4 more
semanticscholar +1 more source
Target averages and decomposition theorems
Digest on Antennas and Propagation Society International Symposium, 2003Several methods for polarimetric target averaging for radar applications are investigated. Attention is given to the example of a random dipole cloud with individual elements considered as input to the target-averaging process. It is possible to eliminate the effect of dipole tilt psi for each individual dipole, which means effectively that each dipole
openaire +1 more source
Polarimetric sar target decomposition based on nonlinear decorrelation
2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS), 2012In remotely sensed Synthetic Aperture Radar (SAR) images, scattering from a target is often the result of a mixture of different scattering mechanisms. Fully polarimetric data offers the possibility to separate and to interpret them. To achieve this task, several target decomposition techniques have been proposed in the literature.
Licciardi, GA +4 more
openaire +1 more source
IEEE Transactions on Aerospace and Electronic Systems, 2021
The interrupted-sampling repeater jamming (ISRJ) is a kind of intrapulse coherent deception jamming, it produces false-target peaks, which obfuscate the real target detection and tracking.
Wenzhen Wu +4 more
semanticscholar +1 more source
The interrupted-sampling repeater jamming (ISRJ) is a kind of intrapulse coherent deception jamming, it produces false-target peaks, which obfuscate the real target detection and tracking.
Wenzhen Wu +4 more
semanticscholar +1 more source

