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)
Verified email at hnu.edu.cn
Title
Cited by
Cited by
Year
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
20052008
Image fusion with guided filtering
S Li, X Kang, J Hu
IEEE Transactions on Image processing 22 (7), 2864-2875, 2013
9422013
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
6002017
Multifocus image fusion and restoration with sparse representation
B Yang, S Li
IEEE Transactions on Instrumentation and Measurement 59 (4), 884-892, 2009
5392009
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
5222013
Performance comparison of different multi-resolution transforms for image fusion
S Li, B Yang, J Hu
Information Fusion 12 (2), 74-84, 2011
5162011
Multifocus image fusion using region segmentation and spatial frequency
S Li, B Yang
Image and vision computing 26 (7), 971-979, 2008
4632008
Combination of images with diverse focuses using the spatial frequency
S Li, JT Kwok, Y Wang
Information fusion 2 (3), 169-176, 2001
4102001
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
3842002
Multifocus image fusion using artificial neural networks
S Li, JT Kwok, Y Wang
Pattern Recognition Letters 23 (8), 985-997, 2002
3762002
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
3392010
Pixel-level image fusion with simultaneous orthogonal matching pursuit
B Yang, S Li
Information fusion 13 (1), 10-19, 2012
3342012
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
2932017
Texture classification using the support vector machines
S Li, JT Kwok, H Zhu, Y Wang
Pattern recognition 36 (12), 2883-2893, 2003
2792003
Remote sensing image fusion via sparse representations over learned dictionaries
S Li, H Yin, L Fang
IEEE Transactions on Geoscience and Remote Sensing 51 (9), 4779-4789, 2013
2632013
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
2562015
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
2502019
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
2492012
Spectral–spatial hyperspectral image classification via multiscale adaptive sparse representation
L Fang, S Li, X Kang, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 52 (12), 7738-7749, 2014
2482014
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
2372017
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