Yanfeng Gu
Yanfeng Gu
Professor of Electronics Engineering, Harbin Institute of Technology
在 hit.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Deep learning-based classification of hyperspectral data
Y Chen, Z Lin, X Zhao, G Wang, Y Gu
IEEE Journal of Selected topics in applied earth observations and remote …, 2014
15112014
Deep feature fusion for VHR remote sensing scene classification
S Chaib, H Liu, Y Gu, H Yao
IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4775-4784, 2017
2572017
Representative multiple kernel learning for classification in hyperspectral imagery
Y Gu, C Wang, D You, Y Zhang, S Wang, Y Zhang
IEEE Transactions on Geoscience and Remote Sensing 50 (7), 2852-2865, 2012
1862012
A kernel-based nonparametric regression method for clutter removal in infrared small-target detection applications
Y Gu, C Wang, B Liu, Y Zhang
IEEE Geoscience and Remote Sensing Letters 7 (3), 469-473, 2010
1552010
Nonlinear multiple kernel learning with multiple-structure-element extended morphological profiles for hyperspectral image classification
Y Gu, T Liu, X Jia, JA Benediktsson, J Chanussot
IEEE Transactions on Geoscience and Remote Sensing 54 (6), 3235-3247, 2016
1522016
Multiple kernel learning for hyperspectral image classification: A review
Y Gu, J Chanussot, X Jia, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 55 (11), 6547-6565, 2017
1292017
Integration of spatial–spectral information for resolution enhancement in hyperspectral images
Y Gu, Y Zhang, J Zhang
IEEE transactions on geoscience and remote sensing 46 (5), 1347-1358, 2008
1132008
A selective KPCA algorithm based on high-order statistics for anomaly detection in hyperspectral imagery
Y Gu, Y Liu, Y Zhang
IEEE Geoscience and Remote Sensing Letters 5 (1), 43-47, 2008
1102008
Discriminative multiple kernel learning for hyperspectral image classification
Q Wang, Y Gu, D Tuia
IEEE Transactions on Geoscience and Remote Sensing 54 (7), 3912-3927, 2016
952016
A Novel MKL Model of Integrating LiDAR Data and MSI for Urban Area Classification
Y Gu, Q Wang, X Jia, JA Benediktsson
IEEE Transaction on Geoscience and Remote Sensing 53 (10), 5312-5326, 2015
912015
Deep fusion of remote sensing data for accurate classification
Y Chen, C Li, P Ghamisi, X Jia, Y Gu
IEEE Geoscience and Remote Sensing Letters 14 (8), 1253-1257, 2017
812017
Recent developments and trends in point set registration methods
B Maiseli, Y Gu, H Gao
Journal of Visual Communication and Image Representation 46, 95-106, 2017
712017
Tensor matched subspace detector for hyperspectral target detection
Y Liu, G Gao, Y Gu
IEEE Transactions on Geoscience and Remote Sensing 55 (4), 1967-1974, 2016
572016
Multiple kernel learning via low-rank nonnegative matrix factorization for classification of hyperspectral imagery
Y Gu, Q Wang, H Wang, D You, Y Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
552014
Optimized Laplacian SVM With Distance Metric Learning for Hyperspectral Image Classification
Y Gu, K Feng
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE …, 2013
542013
Class-specific sparse multiple kernel learning for spectral–spatial hyperspectral image classification
T Liu, Y Gu, X Jia, JA Benediktsson, J Chanussot
IEEE Transactions on Geoscience and Remote Sensing 54 (12), 7351-7365, 2016
532016
Superpixel-based intrinsic image decomposition of hyperspectral images
X Jin, Y Gu
IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4285-4295, 2017
492017
Deep learning ensemble for hyperspectral image classification
Y Chen, Y Wang, Y Gu, X He, P Ghamisi, X Jia
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
402019
L1-graph semisupervised learning for hyperspectral image classification
Y Gu, K Feng
2012 IEEE International Geoscience and Remote Sensing Symposium, 1401-1404, 2012
372012
Spectral unmixing in multiple-kernel Hilbert space for hyperspectral imagery
Y Gu, S Wang, X Jia
IEEE Transactions on Geoscience and Remote Sensing 51 (7), 3968-3981, 2013
282013
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