Follow
Qian (Jenny) Du
Title
Cited by
Cited by
Year
Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches
JM Bioucas-Dias, A Plaza, N Dobigeon, M Parente, Q Du, P Gader, ...
IEEE journal of selected topics in applied earth observations and remote …, 2012
28862012
Estimation of number of spectrally distinct signal sources in hyperspectral imagery
CI Chang, Q Du
IEEE Transactions on geoscience and remote sensing 42 (3), 608-619, 2004
12122004
More diverse means better: Multimodal deep learning meets remote-sensing imagery classification
D Hong, L Gao, N Yokoya, J Yao, J Chanussot, Q Du, B Zhang
IEEE Transactions on Geoscience and Remote Sensing 59 (5), 4340-4354, 2020
9402020
Hyperspectral image classification using deep pixel-pair features
W Li, G Wu, F Zhang, Q Du
IEEE Transactions on Geoscience and Remote Sensing 55 (2), 844-853, 2016
7752016
Local binary patterns and extreme learning machine for hyperspectral imagery classification
W Li, C Chen, H Su, Q Du
IEEE Transactions on Geoscience and Remote Sensing 53 (7), 3681-3693, 2015
6842015
A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification
CI Chang, Q Du, TL Sun, MLG Althouse
IEEE transactions on geoscience and remote sensing 37 (6), 2631-2641, 1999
6771999
An improved box-counting method for image fractal dimension estimation
J Li, Q Du, C Sun
Pattern recognition 42 (11), 2460-2469, 2009
6022009
Collaborative representation for hyperspectral anomaly detection
W Li, Q Du
IEEE Transactions on geoscience and remote sensing 53 (3), 1463-1474, 2014
5802014
Hyperspectral image compression using JPEG2000 and principal component analysis
Q Du, JE Fowler
IEEE Geoscience and Remote sensing letters 4 (2), 201-205, 2007
5442007
Diverse region-based CNN for hyperspectral image classification
M Zhang, W Li, Q Du
IEEE Transactions on Image Processing 27 (6), 2623-2634, 2018
5212018
Multisource remote sensing data classification based on convolutional neural network
X Xu, W Li, Q Ran, Q Du, L Gao, B Zhang
IEEE Transactions on Geoscience and Remote Sensing 56 (2), 937-949, 2017
4692017
GETNET: A general end-to-end 2-D CNN framework for hyperspectral image change detection
Q Wang, Z Yuan, Q Du, X Li
IEEE Transactions on Geoscience and Remote Sensing 57 (1), 3-13, 2018
4542018
Similarity-based unsupervised band selection for hyperspectral image analysis
Q Du, H Yang
IEEE geoscience and remote sensing letters 5 (4), 564-568, 2008
4532008
Hyperspectral and LiDAR data fusion: Outcome of the 2013 GRSS data fusion contest
C Debes, A Merentitis, R Heremans, J Hahn, N Frangiadakis, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
4402014
Hyperspectral band selection: A review
W Sun, Q Du
IEEE Geoscience and Remote Sensing Magazine 7 (2), 118-139, 2019
3282019
An efficient method for supervised hyperspectral band selection
H Yang, Q Du, H Su, Y Sheng
IEEE Geoscience and Remote Sensing Letters 8 (1), 138-142, 2010
2872010
Learning sensor-specific spatial-spectral features of hyperspectral images via convolutional neural networks
S Mei, J Ji, J Hou, X Li, Q Du
IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4520-4533, 2017
2802017
Transferred deep learning for anomaly detection in hyperspectral imagery
W Li, G Wu, Q Du
IEEE Geoscience and Remote Sensing Letters 14 (5), 597-601, 2017
2712017
Unsupervised spatial–spectral feature learning by 3D convolutional autoencoder for hyperspectral classification
S Mei, J Ji, Y Geng, Z Zhang, X Li, Q Du
IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6808-6820, 2019
2622019
High performance computing for hyperspectral remote sensing
A Plaza, Q Du, YL Chang, RL King
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2011
2542011
The system can't perform the operation now. Try again later.
Articles 1–20