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Semi-Supervised Classification Based on SAGA for PolSAR Images
2017Polarimetric Synthetic Aperture Radar (PolSAR) has been meeting the requirements in acquiring images for all-day, free of light, weather and other reasons, so it is widely applied in military and civilian life. PolSAR images contain abundant information.
Hongying Liu 0001 +4 more
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PolSAR image classification based on deorientation theory
Proceedings of 2011 IEEE CIE International Conference on Radar, 2011The randomly distributed target orientation causes confusion in classification of the polarimetric scattering target. In this paper, we proposed an unsupervised classification method to the fully polarimetric SAR (PolSAR) image to solve this problem.
null Guo Rui +3 more
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PolSAR-SSN: An End-to-End Superpixel Sampling Network for PolSAR Image Classification
IEEE Geoscience and Remote Sensing Letters, 2022Lei Wang +5 more
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Active Learning for PolSAR image classification
2013One of the biggest problems, when supervised learning techniques are used, for training classifier, is the necessity of a big amount of labelled samples, including the problems and costs of carry out the labelling of the prototypes needed. SAR images are difficult to label due to the speckle noise, which increases the normal effort needed for labelling
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Semisupervised Classification With Adaptive Anchor Graph for PolSAR Images
IEEE Geoscience and Remote Sensing Letters, 2022Xianyuan Wang, Zongjie Cao, Yiming Pi
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Polsar Image Classification with Transformer
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing SymposiumYunpeng Zhang +6 more
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Spatial feature-based convolutional neural network for PolSAR image classification
Applied Soft Computing Journal, 2022Ronghua Shang +2 more
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Multiobjective evolutionary algorithm assisted stacked autoencoder for PolSAR image classification
Swarm and Evolutionary Computation, 2021Yanqiao Chen +2 more
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