Sparse Subspace Clustering-Based Feature Extraction for PolSAR Imagery Classification
, 2018 Features play an important role in the learning technologies and pattern recognition methods for polarimetric synthetic aperture (PolSAR) image interpretation.
Bo Ren, Jin Zhao, Licheng Jiao, Biao Hou
core +1 more source
Integration of Fine Model-Based Decomposition and Guard Filter for Ship Detection in PolSAR Images. [PDF]
Sensors (Basel), 2021 Liu D, Han L.
europepmc +1 more source
Land Use and Land Cover Classification Meets Deep Learning: A Review. [PDF]
Sensors (Basel), 2023 Zhao S, Tu K, Ye S, Tang H, Hu Y, Xie C.
europepmc +1 more source
Unsupervised Classification of Polarimetric SAR Image Based on Geodesic Distance and Non-Gaussian Distribution Feature. [PDF]
Sensors (Basel), 2021 Qu J, Qiu X, Ding C, Lei B.
europepmc +1 more source
Semantic segmentation of PolSAR image data using advanced deep learning model. [PDF]
Sci Rep, 2021 Garg R +4 more
europepmc +1 more source
Classificació d'imatge PolSAR amb Binary Partition Tree
The objective of this project is to study new techniques in the use of Binary Partition Tree to improve the classification of objects in PolSAR images.
Cuadrado Conde, Cristian
core
Dryland Crop Classification Combining Multitype Features and Multitemporal Quad-Polarimetric RADARSAT-2 Imagery in Hebei Plain, China. [PDF]
Sensors (Basel), 2021 Wang D, Liu CA, Zeng Y, Tian T, Sun Z.
europepmc +1 more source
Multichannel semi-supervised active learning for PolSAR image classification
Deep neural networks have recently been extensively utilized for Polarimetric synthetic aperture radar (PolSAR) image classification. However, this heavily relies on extensive labeled data which is both costly and labor-intensive. To lower the collection
Wen Xie +4 more
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Superpixel-based graph convolutional neural network for polarimetric synthetic aperture radar image classification. [PDF]
Sci RepImani M.
europepmc +1 more source
Building Image Feature Extraction Using Data Mining Technology. [PDF]
Comput Intell Neurosci, 2022 Deng Y, Xing C, Cai L.
europepmc +1 more source