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Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels.

, , , , , , and . Remote Sensing, 11 (16): 1933 (2019)

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Evolving deep convolutional neural networks by quantum behaved particle swarm optimization with binary encoding for image classification., , , and . Neurocomputing, (2019)Adversarial Reconstruction-Classification Networks for PolSAR Image Classification., , , , , and . Remote Sensing, 11 (4): 415 (2019)A Novel Semicoupled Projective Dictionary Pair Learning Method for PolSAR Image Classification., , , , , , and . IEEE Trans. Geoscience and Remote Sensing, 57 (4): 2407-2418 (2019)A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images., , , , , and . IEEE Trans. Geoscience and Remote Sensing, 57 (8): 5751-5763 (2019)Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels., , , , , , and . Remote Sensing, 11 (16): 1933 (2019)A Novel Deep Fully Convolutional Network for PolSAR Image Classification., , , and . Remote Sensing, 10 (12): 1984 (2018)Densely Based Multi-Scale and Multi-Modal Fully Convolutional Networks for High-Resolution Remote-Sensing Image Semantic Segmentation., , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 12 (8): 2612-2626 (2019)Research and designing of boiler-turbine model linearization balance operating point based on energy-saving and non-linear measurement analysis., , and . IECON, page 1145-1149. IEEE, (2012)