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Cross-Scene Hyperspectral Image Classification Based on Deep Conditional Distribution Adaptation Networks.

, , , , , and . IGARSS, page 716-719. IEEE, (2019)

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Hyperspectral image classification with small training set by deep network and relative distance prior., , , and . IGARSS, page 3282-3285. IEEE, (2016)The fishmeal adulteration identification based on microscopic image and deep learning., , , , and . Comput. Electron. Agric., (2022)Multi-Scale Graph-Based Feature Fusion for Few-Shot Remote Sensing Image Scene Classification., , and . Remote. Sens., 14 (21): 5550 (2022)Change detection of marine reclamation using multispectral images via patch-based recurrent neural network., , , and . IGARSS, page 612-615. IEEE, (2017)High-Resolution SAR Image Classification via Deep Convolutional Autoencoders., , , , , and . IEEE Geosci. Remote. Sens. Lett., 12 (11): 2351-2355 (2015)A Review of The Optimization of The Manual Picking System., , , and . ICEME, page 661-666. ACM, (2021)Pseudo-loss Confidence Metric for Semi-supervised Few-shot Learning., , , , and . ICCV, page 8651-8660. IEEE, (2021)Triplet Attention Feature Fusion Network for SAR and Optical Image Land Cover Classification., , , , and . IGARSS, page 4256-4259. IEEE, (2021)Pseudo-label meta-learner in semi-supervised few-shot learning for remote sensing image scene classification., , , , , and . Appl. Intell., 54 (20): 9864-9880 (October 2024)Hyperspectral image classification via contextual deep learning., , and . EURASIP J. Image Video Process., (2015)