Multi-Pixel Simultaneous Classification of PolSAR Image Using Convolutional Neural Networks [PDF]
Sensors, 2018 Convolutional neural networks (CNN) have achieved great success in the optical image processing field. Because of the excellent performance of CNN, more and more methods based on CNN are applied to polarimetric synthetic aperture radar (PolSAR) image ...
Lei Wang +4 more
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PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features
Remote Sensing, 2019 Polarimetric synthetic aperture radar (PolSAR) image classification plays an important role in various PolSAR image application. And many pixel-wise, region-based classification methods have been proposed for PolSAR images.
Xinzheng Zhang +4 more
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PolSAR Image Land Cover Classification Based on Hierarchical Capsule Network
Remote Sensing, 2021 Polarimetric synthetic aperture radar (PolSAR) image classification is one of the basic methods of PolSAR image interpretation. Deep learning algorithms, especially convolutional neural networks (CNNs), have been widely used in PolSAR image ...
Jianda Cheng +5 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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Two-step discriminant analysis based multi-view polarimetric SAR image classification with high confidence [PDF]
Scientific Reports, 2022 Polarimetric synthetic aperture radar (PolSAR) image classification is a hot topic in remote sensing field. Although recently many deep learning methods such as convolutional based networks have provided great success in PolSAR image classification, but ...
Maryam Imani
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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
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Unsupervised Classification of Polarimetric SAR Image Based on Geodesic Distance and Non-Gaussian Distribution Feature [PDF]
Sensors, 2021 Polarimetric synthetic aperture radar (PolSAR) image classification plays a significant role in PolSAR image interpretation. This letter presents a novel unsupervised classification method for PolSAR images based on the geodesic distance and K-Wishart ...
Junrong Qu +3 more
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Object-Based Classification of PolSAR Images Based on Spatial and Semantic Features
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 High-resolution polarimatric synthetic aperture radar (PolSAR) images can provide more detail information on land-cover types and increase the image complexity at the same time.
Bin Zou, Xiaofang Xu, Lamei Zhang
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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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Gaofen-3 PolSAR Image Classification via XGBoost and Polarimetric Spatial Information. [PDF]
Sensors (Basel), 2018 Dong H, Xu X, Wang L, Pu F.
europepmc +2 more sources