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Shutao Li (李树涛)
Shutao Li (李树涛)
College of Electrical and Information Engineering, Hunan University (湖南大学 电气与信息工程学院)
E-mail confirmado em hnu.edu.cn
Título
Citado por
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Ano
ADASYN: Adaptive synthetic sampling approach for imbalanced learning
H He, Y Bai, EA Garcia, S Li
2008 IEEE international joint conference on neural networks (IEEE world …, 2008
60232008
Image fusion with guided filtering
S Li, X Kang, J Hu
IEEE Transactions on Image processing 22 (7), 2864-2875, 2013
19042013
Deep learning for hyperspectral image classification: An overview
S Li, W Song, L Fang, Y Chen, P Ghamisi, JA Benediktsson
IEEE transactions on geoscience and remote sensing 57 (9), 6690-6709, 2019
16592019
Pixel-level image fusion: A survey of the state of the art
S Li, X Kang, L Fang, J Hu, H Yin
information Fusion 33, 100-112, 2017
12712017
Multifocus image fusion and restoration with sparse representation
B Yang, S Li
IEEE transactions on Instrumentation and Measurement 59 (4), 884-892, 2009
8382009
Spectral–spatial hyperspectral image classification with edge-preserving filtering
X Kang, S Li, JA Benediktsson
IEEE transactions on geoscience and remote sensing 52 (5), 2666-2677, 2013
7762013
Performance comparison of different multi-resolution transforms for image fusion
S Li, B Yang, J Hu
Information fusion 12 (2), 74-84, 2011
7412011
Recent advances on spectral–spatial hyperspectral image classification: An overview and new guidelines
L He, J Li, C Liu, S Li
IEEE Transactions on Geoscience and Remote Sensing 56 (3), 1579-1597, 2017
5882017
Multifocus image fusion using region segmentation and spatial frequency
S Li, B Yang
Image and vision computing 26 (7), 971-979, 2008
5632008
Hyperspectral image classification with deep feature fusion network
W Song, S Li, L Fang, T Lu
IEEE Transactions on Geoscience and Remote Sensing 56 (6), 3173-3184, 2018
5552018
Combination of images with diverse focuses using the spatial frequency
S Li, JT Kwok, Y Wang
Information fusion 2 (3), 169-176, 2001
5482001
Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search
L Fang, D Cunefare, C Wang, RH Guymer, S Li, S Farsiu
Biomedical optics express 8 (5), 2732-2744, 2017
5462017
Fusing hyperspectral and multispectral images via coupled sparse tensor factorization
S Li, R Dian, L Fang, JM Bioucas-Dias
IEEE Transactions on Image Processing 27 (8), 4118-4130, 2018
5072018
A new pan-sharpening method using a compressed sensing technique
S Li, B Yang
IEEE Transactions on Geoscience and Remote Sensing 49 (2), 738-746, 2010
4882010
Pixel-level image fusion with simultaneous orthogonal matching pursuit
B Yang, S Li
Information fusion 13 (1), 10-19, 2012
4522012
Group-sparse representation with dictionary learning for medical image denoising and fusion
S Li, H Yin, L Fang
IEEE Transactions on biomedical engineering 59 (12), 3450-3459, 2012
4362012
Using the discrete wavelet frame transform to merge Landsat TM and SPOT panchromatic images
S Li, JT Kwok, Y Wang
Information Fusion 3 (1), 17-23, 2002
4312002
Multifocus image fusion using artificial neural networks
S Li, JT Kwok, Y Wang
Pattern recognition letters 23 (8), 985-997, 2002
4232002
Hyperspectral anomaly detection with attribute and edge-preserving filters
X Kang, X Zhang, S Li, K Li, J Li, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 55 (10), 5600-5611, 2017
4222017
Classification of hyperspectral images by exploiting spectral–spatial information of superpixel via multiple kernels
L Fang, S Li, W Duan, J Ren, JA Benediktsson
IEEE transactions on geoscience and remote sensing 53 (12), 6663-6674, 2015
3932015
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