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Weakly Supervised Classification of Hyperspectral Image Based on Complementary Learning.

, , and . Remote. Sens., 13 (24): 5009 (2021)

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Riemannian manifold learning based k-nearest-neighbor for hyperspectral image classification., , and . IGARSS, page 1975-1978. IEEE, (2013)Supervised Locally Linear Embedding based dimension reduction for hyperspectral image classification., , and . IGARSS, page 3578-3581. IEEE, (2013)Joint Adaboost and multifeature based ensemble for hyperspectral image classification., , and . IGARSS, page 2874-2877. IEEE, (2014)Spectral-Spatial Classification of Hyperspectral Data Based on Deep Belief Network., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (6): 2381-2392 (2015)A novel level set framework for LOD2 building modeling., , , and . ICIP, page 1781-1784. IEEE, (2012)A bidirectional gradient prediction based method for hyperspectral data junk bands restoration., , and . IGARSS, page 4624-4627. IEEE, (2014)Object Tracking Based on Hierarchical Convolutional Features., , , and . ICPCSEE (1), volume 901 of Communications in Computer and Information Science, page 729-737. Springer, (2018)A 99.8% Energy-Reduced Two-Stage Mixed Switching Scheme for SAR ADC Without Reset Energy., , and . CSSP, 38 (12): 5426-5447 (2019)Soft Augmentation-Based Siamese CNN for Hyperspectral Image Classification With Limited Training Samples., , , and . IEEE Geosci. Remote. Sens. Lett., (2022)Deep fusion of hyperspectral and LiDAR data for thematic classification., , , , and . IGARSS, page 3591-3594. IEEE, (2016)