Articles with public access mandates - Pedram GhamisiLearn more
Not available anywhere: 30
Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art
P Ghamisi, B Rasti, N Yokoya, Q Wang, B Hofle, L Bruzzone, F Bovolo, ...
IEEE Geoscience and Remote Sensing Magazine 7 (1), 6-39, 2019
Mandates: National Natural Science Foundation of China, Helmholtz Association
Automatic design of convolutional neural network for hyperspectral image classification
Y Chen, K Zhu, L Zhu, X He, P Ghamisi, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 57 (9), 7048-7066, 2019
Mandates: National Natural Science Foundation of China
Heterogeneous transfer learning for hyperspectral image classification based on convolutional neural network
X He, Y Chen, P Ghamisi
IEEE Transactions on Geoscience and Remote Sensing 58 (5), 3246-3263, 2019
Mandates: National Natural Science Foundation of China
Classification of hyperspectral images via multitask generative adversarial networks
R Hang, F Zhou, Q Liu, P Ghamisi
IEEE Transactions on Geoscience and Remote Sensing 59 (2), 1424-1436, 2020
Mandates: National Natural Science Foundation of China
Fusion of multiple edge-preserving operations for hyperspectral image classification
P Duan, X Kang, S Li, P Ghamisi, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 57 (12), 10336-10349, 2019
Mandates: National Natural Science Foundation of China
Land-cover classification using both hyperspectral and LiDAR data
P Ghamisi, JA Benediktsson, S Phinn
International Journal of Image and Data Fusion 6 (3), 189-215, 2015
Mandates: Icelandic Centre for Research
Multiscale densely-connected fusion networks for hyperspectral images classification
J Xie, N He, L Fang, P Ghamisi
IEEE Transactions on Circuits and Systems for Video Technology 31 (1), 246-259, 2020
Mandates: National Natural Science Foundation of China
Transferring CNN with adaptive learning for remote sensing scene classification
W Wang, Y Chen, P Ghamisi
IEEE Transactions on Geoscience and Remote Sensing 60, 1-18, 2022
Mandates: National Natural Science Foundation of China
Multichannel pulse-coupled neural network-based hyperspectral image visualization
P Duan, X Kang, S Li, P Ghamisi
IEEE Transactions on Geoscience and Remote Sensing 58 (4), 2444-2456, 2019
Mandates: National Natural Science Foundation of China
Superpixel contracted neighborhood contrastive subspace clustering network for hyperspectral images
Y Cai, Z Zhang, P Ghamisi, Y Ding, X Liu, Z Cai, R Gloaguen
IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022
Mandates: National Natural Science Foundation of China, Helmholtz Association
LiDAR data classification using spatial transformation and CNN
X He, A Wang, P Ghamisi, G Li, Y Chen
IEEE Geoscience and Remote Sensing Letters 16 (1), 125-129, 2018
Mandates: National Natural Science Foundation of China, Helmholtz Association
Fusion of hyperspectral and lidar data in classification of urban areas
P Ghamisi, JA Benediktsson, S Phinn
2014 IEEE Geoscience and Remote Sensing Symposium, 181-184, 2014
Mandates: Icelandic Centre for Research
Normal assisted pixel-visibility learning with cost aggregation for multiview stereo
W Tong, X Guan, J Kang, PZH Sun, R Law, P Ghamisi, EQ Wu
IEEE Transactions on Intelligent Transportation Systems 23 (12), 24686-24697, 2022
Mandates: National Natural Science Foundation of China
Edge-preserving filtering-based dehazing for remote sensing images
Y Han, M Yin, P Duan, P Ghamisi
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
Mandates: National Natural Science Foundation of China
Multisensor composite kernels based on extreme learning machines
P Ghamisi, B Rasti, JA Benediktsson
IEEE Geoscience and Remote Sensing Letters 16 (2), 196-200, 2018
Mandates: Helmholtz Association
Context enhancing representation for semantic segmentation in remote sensing images
L Fang, P Zhou, X Liu, P Ghamisi, S Chen
IEEE Transactions on Neural Networks and Learning Systems 35 (3), 4138-4152, 2022
Mandates: National Natural Science Foundation of China
The spectral-spatial classification of hyperspectral images based on Hidden Markov Random Field and its Expectation-Maximization
P Ghamisi, JA Benediktsson, MO Ulfarsson
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International …, 2013
Mandates: Icelandic Centre for Research
PCLDet: Prototypical contrastive learning for fine-grained object detection in remote sensing images
L Ouyang, G Guo, L Fang, P Ghamisi, J Yue
IEEE Transactions on Geoscience and Remote Sensing 61, 1-11, 2023
Mandates: National Natural Science Foundation of China
Contour structural profiles: An edge-aware feature extractor for hyperspectral image classification
Y Zhang, P Duan, J Mao, X Kang, L Fang, P Ghamisi
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2022
Mandates: National Natural Science Foundation of China
Fully linear graph convolutional networks for semi-supervised and unsupervised classification
Y Cai, Z Zhang, P Ghamisi, Z Cai, X Liu, Y Ding
ACM Transactions on Intelligent Systems and Technology 14 (3), 1-23, 2023
Mandates: National Natural Science Foundation of China
Publication and funding information is determined automatically by a computer program