Results 71 to 80 of about 7,181 (241)
Discussion on Application of Polarimetric Synthetic Aperture Radar in Marine Surveillance
Leida xuebao, 2016 Synthetic Aperture Radar (SAR), an important earth observation sensor, has been used in a wide range of applications for land and marine surveillance. Polarimetric SAR (PolSAR) can obtain abundant scattering information of a target to improve the ability
Zhang Jie +3 more
doaj +1 more source
A Novel Multi-Feature Joint Learning Method for Fast Polarimetric SAR Terrain Classification
IEEE Access, 2020 Polarimetric synthetic aperture radar (PolSAR) image classification is one of the most important study areas for PolSAR image processing. Many kinds of PolSAR features can be extracted for PolSAR image classification, such as the scattering, polarimetric
Junfei Shi, Haiyan Jin, Xiaohua Li
doaj +1 more source
Modifying the Yamaguchi Four-Component Decomposition Scattering Powers Using a Stochastic Distance
, 2015 Model-based decompositions have gained considerable attention after the initial work of Freeman and Durden. This decomposition which assumes the target to be reflection symmetric was later relaxed in the Yamaguchi et al.
Bhattacharya, Avik +4 more
core +1 more source
L‐Band InSAR Snow Water Equivalent Retrieval Uncertainty Increases With Forest Cover Fraction
Geophysical Research Letters, Volume 51, Issue 24, 28 December 2024.Abstract There is a pressing need for global monitoring of snow water equivalent (SWE) at high spatiotemporal resolution, and L‐band (1–2 GHz) interferometric synthetic aperture radar (InSAR) holds promise. However, the technique has not seen extensive evaluation in forests.
R. Bonnell +7 more
wiley +1 more source
Remote Sensing, 2022 Polarimetric synthetic aperture radar (PolSAR) image classification is a pixel-wise issue, which has become increasingly prevalent in recent years. As a variant of the Convolutional Neural Network (CNN), the Fully Convolutional Network (FCN), which is ...
Wen Xie, Licheng Jiao, Wenqiang Hua
doaj +1 more source
IET Radar, Sonar &Navigation, Volume 18, Issue 12, Page 2642-2656, December 2024.An optimised scattering power decomposition model is proposed which comprises surface, double‐bounce, oriented dipole and volume scattering components. The authors derive the optimised four‐component decomposition model from mathematical and theoretical perspectives, and verify the rationality of the optimised decomposition model using large amounts of
Lu Fang, Wenxing Mu, Ning Wang, Tao Liu
wiley +1 more source
Robust Classification of PolSAR Images Based on Pinball loss Support Vector Machine
Leida xuebao, 2019 Given the problems that the amount of supervised information in the Polarimetric Synthetic Aperture Radar (PolSAR) image is low and the speckle noise is difficult to eliminate, in this study, a robust classification algorithm for PolSAR image based on ...
ZHANG Lamei +3 more
doaj +1 more source
, 2013 A new classifier for Polarimetric SAR (PolSAR) images is proposed and assessed in this paper. Its input consists of segments, and each one is assigned the class which minimizes a stochastic distance. Assuming the complex Wishart model, several stochastic
da Silva, Wagner Barreto +3 more
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Hierarchical Segmentation of Polarimetric SAR Images Using Heterogeneous Clutter Models [PDF]
, 2011 International audienceIn this paper, heterogeneous clutter models are used to describe polarimetric synthetic aperture radar (PolSAR) data. The KummerU distribution is introduced to model the PolSAR clutter.
Bombrun, Lionel +3 more
core +4 more sources
IET Radar, Sonar &Navigation, Volume 18, Issue 12, Page 2681-2697, December 2024.SAR GMTI is of great importance for both civlisation and military applications. The clutter suppression performance is an important assurance for the accuracy and precision of GMTI. To achieve better clutter suppression performance, it often requires extremely precise registration of multi‐channel data, including polarization and interferometric ...
Jing Xu +3 more
wiley +1 more source