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zhang liangpei
zhang liangpei
Professor, Wuhan University
Bestätigte E-Mail-Adresse bei whu.edu.cn - Startseite
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Zitiert von
Zitiert von
Jahr
Deep learning in remote sensing: A comprehensive review and list of resources
XX Zhu, D Tuia, L Mou, GS Xia, L Zhang, F Xu, F Fraundorfer
IEEE geoscience and remote sensing magazine 5 (4), 8-36, 2017
31782017
DOTA: A large-scale dataset for object detection in aerial images
GS Xia, X Bai, J Ding, Z Zhu, S Belongie, J Luo, M Datcu, M Pelillo, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
29412018
Deep learning for remote sensing data: A technical tutorial on the state of the art
L Zhang, L Zhang, B Du
IEEE Geoscience and remote sensing magazine 4 (2), 22-40, 2016
22602016
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
22492017
AID: A benchmark data set for performance evaluation of aerial scene classification
GS Xia, J Hu, F Hu, B Shi, X Bai, Y Zhong, L Zhang, X Lu
IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3965-3981, 2017
20552017
Transferring deep convolutional neural networks for the scene classification of high-resolution remote sensing imagery
F Hu, GS Xia, J Hu, L Zhang
Remote Sensing 7 (11), 14680-14707, 2015
13442015
Deep learning in environmental remote sensing: Achievements and challenges
Q Yuan, H Shen, T Li, Z Li, S Li, Y Jiang, H Xu, W Tan, Q Yang, J Wang, ...
Remote sensing of Environment 241, 111716, 2020
12922020
Hyperspectral image restoration using low-rank matrix recovery
H Zhang, W He, L Zhang, H Shen, Q Yuan
IEEE transactions on geoscience and remote sensing 52 (8), 4729-4743, 2013
8652013
Land-cover classification with high-resolution remote sensing images using transferable deep models
XY Tong, GS Xia, Q Lu, H Shen, S Li, S You, L Zhang
Remote Sensing of Environment 237, 111322, 2020
8302020
A deeply supervised attention metric-based network and an open aerial image dataset for remote sensing change detection
Q Shi, M Liu, S Li, X Liu, F Wang, L Zhang
IEEE transactions on geoscience and remote sensing 60, 1-16, 2021
6412021
Total-variation-regularized low-rank matrix factorization for hyperspectral image restoration
W He, H Zhang, L Zhang, H Shen
IEEE transactions on geoscience and remote sensing 54 (1), 178-188, 2015
6342015
Saliency-guided unsupervised feature learning for scene classification
F Zhang, B Du, L Zhang
IEEE transactions on Geoscience and Remote Sensing 53 (4), 2175-2184, 2014
6272014
Hyperspectral image denoising employing a spectral–spatial adaptive total variation model
Q Yuan, L Zhang, H Shen
IEEE Transactions on Geoscience and Remote Sensing 50 (10), 3660-3677, 2012
6152012
Image super-resolution: The techniques, applications, and future
L Yue, H Shen, J Li, Q Yuan, H Zhang, L Zhang
Signal processing 128, 389-408, 2016
5892016
A multiscale and multidepth convolutional neural network for remote sensing imagery pan-sharpening
Q Yuan, Y Wei, X Meng, H Shen, L Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018
5562018
An SVM ensemble approach combining spectral, structural, and semantic features for the classification of high-resolution remotely sensed imagery
X Huang, L Zhang
IEEE transactions on geoscience and remote sensing 51 (1), 257-272, 2012
5142012
Missing information reconstruction of remote sensing data: A technical review
H Shen, X Li, Q Cheng, C Zeng, G Yang, H Li, L Zhang
IEEE Geoscience and Remote Sensing Magazine 3 (3), 61-85, 2015
5072015
高光谱遥感
张良培
武汉大学出版社, 2005
487*2005
Boosting the accuracy of multispectral image pansharpening by learning a deep residual network
Y Wei, Q Yuan, H Shen, L Zhang
IEEE Geoscience and Remote Sensing Letters 14 (10), 1795-1799, 2017
4812017
Scene classification via a gradient boosting random convolutional network framework
F Zhang, B Du, L Zhang
IEEE Transactions on geoscience and remote sensing 54 (3), 1793-1802, 2015
4752015
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