Results 11 to 20 of about 2,421 (185)
PCCN: Polarimetric Contexture Convolutional Network for PolSAR Image Super-Resolution
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPolarimetric synthetic aperture radar (PolSAR) can acquire full-polarization information, which is the solid foundation for target scattering mechanism interpretation and utilization. Meanwhile, PolSAR image resolution is usually lower than the synthetic
Lin-Yu Dai, Ming-Dian Li, Si-Wei Chen
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Polarimetric Contextual Classification of PolSAR Images Using Sparse Representation and Superpixels
Remote Sensing, 2014 In recent years, sparse representation-based techniques have shown great potential for pattern recognition problems. In this paper, the problem of polarimetric synthetic aperture radar (PolSAR) image classification is investigated using sparse ...
Jilan Feng, Zongjie Cao, Yiming Pi
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Review of Ship Detection in Polarimetric Synthetic Aperture Imagery
Leida xuebao, 2021 Polarimetric Synthetic Aperture Radar (PolSAR) uses two-dimensional pulse compression to obtain high-resolution images containing polarimetric information.
Tao LIU +3 more
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Egyptian Journal of Remote Sensing and Space Sciences, 2022 Although various deep neural networks such as convolutional neural networks (CNNs) have been suggested for classification of polarimetric synthetic aperture radar (PolSAR) images, but, they have several deficiencies.
Maryam Imani
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Earth and Space Science, Volume 10, Issue 6, June 2023., 2023 Abstract The polarimetric Synthetic Aperture Radar (SAR) data sets have been widely exploited for land use land cover (LULC) classification due to their sensitivity to the structural and dielectric properties of the imaging target. In this study, the potential of fully polarimetric L‐ and S‐band Airborne SAR (LS‐ASAR) data sets were explored for the ...
Shatakshi Verma +2 more
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Visualisation and interpretation of PolSAR data based on polarimetric coherence
The Journal of Engineering, 2019 Polarimetric coherence strongly relates to the target scattering characteristics. Coherences of different second-order statistics show different advantages in target discrimination in specific correspondence to physical scattering mechanism.
Liting Liang +3 more
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Remote Sensing, 2022 Polarimetric synthetic aperture radar (PolSAR) images contain useful information, which can lead to extensive land cover interpretation and a variety of output products.
Ali Radman +4 more
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Feature fusion method based on local binary graph for PolSAR image classification
IET Radar, Sonar &Navigation, Volume 17, Issue 6, Page 939-954, June 2023., 2023 We propose a novel supervised version of GCNs named mini‐GCNs, for short. As the name suggests, mini‐GCNs can be trained in mini‐batch fashion, trying to achieve a better and more robust local optimum. To remove the redundant information extracted from the designed CNN and mini‐GCN, a feature fusion method is proposed to achieve better classification ...
Mohammad Ali Sebt, Mohsen Darvishnezhad
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ESTIMATING CANOLA’S BIOPHYSICAL PARAMETERS FROM TEMPORAL, SPECTRAL, AND POLARIMETRIC IMAGERY USING MACHINE LEARNING APPROACHES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 The objective of this study was to investigate the application of multi-temporal optical and polarimetric synthetic aperture radar (PolSAR) Earth observations for crop characterization.
O. Reisi Gahrouei +2 more
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Analytic Expressions for Stochastic Distances Between Relaxed Complex Wishart Distributions [PDF]
, 2013 The scaled complex Wishart distribution is a widely used model for multilook full polarimetric SAR data whose adequacy has been attested in the literature.
Cintra, Renato J. +2 more
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