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Guangyao shi
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Dimensionality reduction of hyperspectral imagery based on spatial–spectral manifold learning
H Huang, G Shi, H He, Y Duan, F Luo
IEEE transactions on cybernetics 50 (6), 2604-2616, 2019
1352019
Multilayer feature fusion network for scene classification in remote sensing
K Xu, H Huang, Y Li, G Shi
IEEE Geoscience and Remote Sensing Letters 17 (11), 1894-1898, 2020
942020
Unsupervised dimensionality reduction for hyperspectral imagery via local geometric structure feature learning
G Shi, H Huang, L Wang
IEEE Geoscience and Remote Sensing Letters 17 (8), 1425-1429, 2019
762019
Two-stream feature aggregation deep neural network for scene classification of remote sensing images
K Xu, H Huang, P Deng, G Shi
Information Sciences 539, 250-268, 2020
472020
Dimensionality reduction of hyperspectral image based on local constrained manifold structure collaborative preserving embedding
G Shi, F Luo, Y Tang, Y Li
Remote sensing 13 (7), 1363, 2021
302021
Local linear spatial–spectral probabilistic distribution for hyperspectral image classification
H Huang, Y Duan, H He, G Shi
IEEE Transactions on Geoscience and Remote Sensing 58 (2), 1259-1272, 2019
202019
Spatial-spectral local discriminant projection for dimensionality reduction of hyperspectral image
H Huang, Y Duan, H He, G Shi, F Luo
ISPRS journal of photogrammetry and remote sensing 156, 77-93, 2019
192019
Manifold-based multi-deep belief network for feature extraction of hyperspectral image
Z Li, H Huang, Z Zhang, G Shi
Remote Sensing 14 (6), 1484, 2022
182022
DLPNet: A deep manifold network for feature extraction of hyperspectral imagery
Z Li, H Huang, Y Duan, G Shi
Neural Networks 129, 7-18, 2020
172020
Spatial-spectral multiple manifold discriminant analysis for dimensionality reduction of hyperspectral imagery
G Shi, H Huang, J Liu, Z Li, L Wang
Remote Sensing 11 (20), 2414, 2019
132019
Fusion of weighted mean reconstruction and SVMCK for hyperspectral image classification
H Huang, Y Duan, G Shi, Z Lv
IEEE Access 6, 15224-15235, 2018
112018
Multi-manifold locality graph preserving analysis for hyperspectral image classification
G Shi, H Huang, Z Li, Y Duan
Neurocomputing 388, 45-59, 2020
102020
基于深度学习的高光谱图像空-谱联合特征提取
黄鸿, 何凯, 郑新磊, 石光耀
Laser & Optoelectronics Progress 54 (10), 101001--1, 2017
92017
A deep feature manifold embedding method for hyperspectral image classification
J Liu, S Yang, H Huang, Z Li, G Shi
Remote Sensing Letters 11 (7), 620-629, 2020
52020
Scene classification of high-resolution remote sensing image by multi-scale and multi-feature fusion
H Huang, KJ Xu, GY Shi
Acta Electronica Sinica 48 (9), 1824-1833, 2020
52020
加权空-谱联合保持嵌入的高光谱遥感影像降维方法
黄鸿, 石光耀, 段宇乐, 张丽梅
测绘学报, 2019
52019
Dimensionality reduction method for hyperspectral images based on weighted spatial-spectral combined preserving embedding
H Hong, SHI Guangyao, D Yule, Z Limei
Acta Geodaetica et Cartographica Sinica 48 (8), 1014, 2019
52019
联合稀疏特性和邻域相似度量的高光谱图像分类
刘嘉敏, 张丽梅, 石光耀, 黄鸿
光子学报 47 (6), 0610001, 2018
52018
联合多尺度多特征的高分遥感图像场景分类
黄鸿, 徐科杰, 石光耀
电子学报 48 (9), 1824, 2020
42020
基于分水岭及半监督最小误差重构的荧光微球分割及分类方法
黄鸿, 金莹莹, 李政英, 段宇乐, 石光耀
Chinese Journal of Lasers 45 (3), 307013--1, 2018
42018
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