Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples. [PDF]
Sensors (Basel), 2023 Zhao M, Cheng Y, Qin X, Yu W, Wang P.
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Machine learning classification based on k-Nearest Neighbors for PolSAR data
Anais da Academia Brasileira de CiênciasIn this work, we focus on obtaining insights of the performances of some well-known machine learning image classification techniques (k-NN, Support Vector Machine, randomized decision tree and one based on stochastic distances) for PolSAR (Polarimetric ...
JODAVID A. FERREIRA +3 more
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A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification. [PDF]
Sensors (Basel), 2023 Sadeghi F +4 more
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Marine Oil Spill Detection from SAR Images Based on Attention U-Net Model Using Polarimetric and Wind Speed Information. [PDF]
Int J Environ Res Public Health, 2022 Chen Y, Wang Z.
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Two-step discriminant analysis based multi-view polarimetric SAR image classification with high confidence. [PDF]
Sci Rep, 2022 Imani M.
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Self-Trained Deep Forest with Limited Samples for Urban Impervious Surface Area Extraction in Arid Area Using Multispectral and PolSAR Imageries. [PDF]
Sensors (Basel), 2022 Liu X +4 more
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Perceptually Optimal Color Representation of Fully Polarimetric SAR Imagery. [PDF]
J Imaging, 2022 Koukiou G.
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Polarimetric SAR Speckle Filtering Using a Nonlocal Weighted LMMSE Filter. [PDF]
Sensors (Basel), 2021 Shen Y, Ma X, Zhu S, Xu J.
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, 2017 This project will implement a segmentation algorithm for PolSAR images to represent the boundaries of the areas in the image and the regions. Identifying the regions on SAR images can be useful for further analysis, for example, to classify the elements of the image.
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Multiple Classifiers Based Semi-Supervised Polarimetric SAR Image Classification Method. [PDF]
Sensors (Basel), 2021 Zhu L, Ma X, Wu P, Xu J.
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