Results 41 to 50 of about 12,268,087 (190)
Joint Polarimetric-Adjacent Features Based on LCSR for PolSAR Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Image classification is a critical and important application in PolSAR image interpretation. Finding a feature extraction method, which can effectively describe the characteristics of the target, is an important basis for image classification.
Xiao Wang +3 more
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Deep support vector machine for PolSAR image classification
, 2021 The main problem posed by Polarimetric Synthetic Aperture Radar (PolSAR) image classification in remote sensing is the ability to develop classifiers that can substantially discern the different classes inherent in natural and man-made targets.
Olayinka, Dupe Nihinlola +4 more
core +1 more source
PolSAR Image Classification by Introducing POA and HA Variances
Remote Sensing, 2023 A polarimetric synthetic aperture radar (PolSAR) has great potential in ground target classification. However, current methods experience difficulties in separating forests and buildings, especially oriented buildings. To address this issue, inspired by the three-component decomposition method, multiple new scattering models were proposed to describe ...
Zeying Lan, Yang Liu, Jianhua He, Xin Hu
openaire +2 more sources
An active deep learning approach for minimally supervised polsar image classification [PDF]
, 2019 Recently, deep neural networks have received intense interests in polarimetric synthetic aperture radar (PolSAR) image classification. However, its success is subject to the availability of large amounts of annotated data which require great efforts of ...
Xue, Yong
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IET Radar, Sonar & Navigation, 2022 There are two types of important information in a polarimetric synthetic aperture radar (PolSAR) image: spatial features in two dimensions and polarimetric characteristics in the scattering dimension. Considering both polarimetric and spatial information
Maryam Imani
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Classification of Polarimetric SAR Images Based on the Riemannian Manifold
Leida xuebao, 2017 Classification is one of the core components in the interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. A new PolSAR image classification approach employs the structural properties of the Riemannian manifold formed by PolSAR ...
Yang Wen +3 more
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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
wiley +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
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IEEE Access, 2019 Unsupervised polarimetric synthetic aperture radar (PolSAR) image classification is an important task in PolSAR automatic image analysis and interpretation.
Huanxin Zou +3 more
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PolSAR Image Classification Using a Superpixel-Based Composite Kernel and Elastic Net
, 2021 The presence of speckles and the absence of discriminative features make it difficult for the pixel-level polarimetric synthetic aperture radar (PolSAR) image classification to achieve more accurate and coherent interpretation results, especially in the ...
Yan Wu +4 more
core +1 more source