zhang liangpei
zhang liangpei
Professor, Wuhan University
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
On combining multiple features for hyperspectral remote sensing image classification
L Zhang, L Zhang, D Tao, X Huang
IEEE Transactions on Geoscience and Remote Sensing 50 (3), 879-893, 2011
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
武汉大学出版社, 2005
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
Stacked convolutional denoising auto-encoders for feature representation
B Du, W Xiong, J Wu, L Zhang, L Zhang, D Tao
IEEE transactions on cybernetics 47 (4), 1017-1027, 2016
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
Morphological building/shadow index for building extraction from high-resolution imagery over urban areas
X Huang, L Zhang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2011
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
A MAP approach for joint motion estimation, segmentation, and super resolution
H Shen, L Zhang, B Huang, P Li
IEEE Transactions on Image processing 16 (2), 479-490, 2007
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20