Results 31 to 40 of about 11,244,032 (159)
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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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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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
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POLSAR Image Classification via Clustering-WAE Classification Model
IEEE Access, 2018 Considering the clustering algorithms could explore the label information automatically, this paper proposes a new method in terms of polarimetric synthetic aperture radar (POLSAR) image classification, which named a clustering-wishart-auto-encoder (WAE)
Wen Xie, Ziwei Xie, Feng Zhao, Bo Ren
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PolSAR Image Classification with Lightweight 3D Convolutional Networks
, 2020 Convolutional neural networks (CNNs) have become the state-of-the-art in optical image processing. Recently, CNNs have been used in polarimetric synthetic aperture radar (PolSAR) image classification and obtained promising results. Unlike optical images,
Hongwei Dong, Bin Zou, Lamei Zhang
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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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A New Architecture of a Complex-Valued Convolutional Neural Network for PolSAR Image Classification
, 2023 Polarimetric synthetic aperture radar (PolSAR) image classification has been an important area of research due to its wide range of applications. Traditional machine learning methods were insufficient in achieving satisfactory results before the advent ...
Ying Liu, Yihui Ren, Wen Jiang
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Canadian Journal of Remote Sensing, 2023 Polarimetric synthetic aperture radar (PolSAR) images are classified mainly according to the backscattering information of ground objects. For regions with complex backscattering information, misclassification is easy to occur, which leads to challenges ...
Yan Duan +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
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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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