Pedram Ghamisi
Pedram Ghamisi
Helmholtz-Zentrum Dresden-Rossendorf, Division Exploration, Machine Learning Group (head)
Verified email at hzdr.de - Homepage
Title
Cited by
Cited by
Year
Deep feature extraction and classification of hyperspectral images based on convolutional neural networks
Y Chen, H Jiang, C Li, X Jia, P Ghamisi
IEEE Transactions on Geoscience and Remote Sensing 54 (10), 6232-6251, 2016
7362016
Feature selection based on hybridization of genetic algorithm and particle swarm optimization
P Ghamisi, JA Benediktsson
IEEE Geoscience and Remote Sensing Letters 12 (2), 309-313, 2015
2762015
Deep recurrent neural networks for hyperspectral image classification
L Mou, P Ghamisi, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3639-3655, 2017
2672017
An efficient method for segmentation of images based on fractional calculus and natural selection
P Ghamisi, MS Couceiro, JNA Benediktsson, NMF Ferreira
Expert Systems with Applications 39 (16), 12407-12417, 2012
2472012
A survey on spectral–spatial classification techniques based on attribute profiles
P Ghamisi, M Dalla Mura, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2335-2353, 2015
2122015
Multilevel image segmentation based on fractional-order Darwinian particle swarm optimization
P Ghamisi, MS Couceiro, FML Martins, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing, 52 (5), 2382-2394, 2014
1872014
Advanced Supervised Spectral Classifiers for Hyperspectral Images: A Review
P Ghamisi, J Plaza, Y Chen, J Li, A Plaza
IEEE Geoscience and Remote Sensing Magazine (GRSM), 2017
183*2017
Spectral–spatial classification of hyperspectral images based on hidden Markov random fields
P Ghamisi, JA Benediktsson, MO Ulfarsson
IEEE Transactions on Geoscience and Remote Sensing, 52 (5), 2565-2574, 2014
1292014
Advances in hyperspectral image and signal processing: A comprehensive overview of the state of the art
P Ghamisi, N Yokoya, J Li, W Liao, S Liu, J Plaza, B Rasti, A Plaza
IEEE Geoscience and Remote Sensing Magazine 5 (4), 37-78, 2017
1232017
Automatic spectral–spatial classification framework based on attribute profiles and supervised feature extraction
P Ghamisi, JA Benediktsson, JR Sveinsson
IEEE Transactions on Geoscience and Remote Sensing, 52 (99), 5771-5782, 2014
1032014
Generative adversarial networks for hyperspectral image classification
L Zhu, Y Chen, P Ghamisi, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 56 (9), 5046-5063, 2018
962018
Unsupervised spectral–spatial feature learning via deep residual Conv–Deconv network for hyperspectral image classification
L Mou, P Ghamisi, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 56 (1), 391-406, 2017
962017
Spectral-spatial classification of hyperspectral remote sensing images
JA Benediktsson, P Ghamisi
Artech House, 2015
842015
Automatic Framework for Spectral–Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles
P Ghamisi, JA Benediktsson, G Cavallaro, A Plaza
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
832014
Extinction Profiles for the Classification of Remote Sensing Data
P Ghamisi, R Souza, JA Benediktsson, XX Zhu, L Rittner, R Lotufo
IEEE Transactions on Geoscience and Remote Sensing, 2016
792016
Hyperspectral and LiDAR data fusion using extinction profiles and deep convolutional neural network
P Ghamisi, B Höfle, XX Zhu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
742016
A Novel Feature Selection Approach Based on FODPSO and SVM
P Ghamisi, MS Couceiro, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 53 (5), 2935-2947, 2015
742015
A self-improving convolution neural network for the classification of hyperspectral data
P Ghamisi, Y Chen, XX Zhu
IEEE Geoscience and Remote Sensing Letters 13 (10), 1537-1541, 2016
732016
Frontiers in Spectral-Spatial Classification of Hyperspectral Images
P Ghamisi, E Maggiori, S Li, R Souza, Y Tarabalka, G Moser, AD Giorgi, ...
IEEE Geoscience and Remote Sensing Magazine, 2018
57*2018
Hyperspectral images classification with Gabor filtering and convolutional neural network
Y Chen, L Zhu, P Ghamisi, X Jia, G Li, L Tang
IEEE Geoscience and Remote Sensing Letters 14 (12), 2355-2359, 2017
532017
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