Seuraa
Wei Li
Wei Li
Beijing Institute of Technology
Vahvistettu sähköpostiosoite verkkotunnuksessa ieee.org - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Deep Convolutional Neural Networks for Hyperspectral Image Classification
W Hu, Y Huang, W Li, F Zhang, H Li
Journal of Sensors 2015, 2015
19342015
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, 2017
8262017
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
7352015
Collaborative Representation for Hyperspectral Anomaly Detection
W Li, Q Du
IEEE Transactions on Geoscience and Remote Sensing 53 (3), 1463-1474, 2015
6582015
Diverse Region-Based CNN for Hyperspectral Image Classification
M Zhang, W Li, Q Du
IEEE Transactions on Image Processing 27 (6), 2623-2634, 2018
5882018
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, 2018
5742018
Locality-preserving dimensionality reduction and classification for hyperspectral image analysis
W Li, S Prasad, JE Fowler, LM Bruce
IEEE Transactions on Geoscience and Remote Sensing 50 (4), 1185-1198, 2012
5502012
DeepUNet: a deep fully convolutional network for pixel-level sea-land segmentation
R Li, W Liu, L Yang, S Sun, W Hu, F Zhang, W Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
3892018
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
3062017
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers
J He, L Zhao, H Yang, M Zhang, W Li
IEEE Transactions on Geoscience and Remote Sensing 58 (1), 165-178, 2019
2882019
Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine
C Chen, W Li, H Su, K Liu
Remote Sensing 6 (6), 5795-5814, 2014
2612014
Nearest regularized subspace for hyperspectral classification
W Li, EW Tramel, S Prasad, JE Fowler
IEEE Transactions on Geoscience and Remote Sensing 52 (1), 477-489, 2014
2532014
Feature extraction for classification of hyperspectral and LiDAR data using patch-to-patch CNN
M Zhang, W Li, Q Du, L Gao, B Zhang
IEEE Transactions on Cybernetics 50 (1), 100-111, 2020
2502020
Combined sparse and collaborative representation for hyperspectral target detection
W Li, Q Du, B Zhang
Pattern Recognition 48 (12), 3904-3916, 2015
2462015
Gabor-filtering-based nearest regularized subspace for hyperspectral image classification
W Li, Q Du
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
2372014
Deep learning for unmanned aerial vehicle-based object detection and tracking: a survey
X Wu, W Li, D Hong, R Tao, Q Du
IEEE Geoscience and Remote Sensing Magazine 10 (1), 91-124, 2021
2272021
ORSIm detector: A novel object detection framework in optical remote sensing imagery using spatial-frequency channel features
X Wu, D Hong, J Tian, J Chanussot, W Li, R Tao
IEEE Transactions on Geoscience and Remote Sensing 57 (7), 5146-5158, 2019
2272019
Hyperspectral anomaly detection by fractional Fourier entropy
R Tao, X Zhao, W Li, HC Li, Q Du
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
2122019
Data augmentation for hyperspectral image classification with deep CNN
W Li, C Chen, M Zhang, H Li, Q Du
IEEE Geoscience and Remote Sensing Letters 16 (4), 593-597, 2018
2102018
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification
Y Zhang, W Li, M Zhang, Y Qu, R Tao, H Qi
IEEE Transactions on Neural Networks and Learning Systems, 2022
1942022
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Artikkelit 1–20