Pedram Ghamisi
Pedram Ghamisi
Helmholtz-Zentrum Dresden-Rossendorf, Division Exploration, Machine Learning Group (head)
確認したメール アドレス: hzdr.de - ホームページ
タイトル
引用先
引用先
年
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
9742016
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
3662017
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
3172015
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
2702012
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
2452015
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
239*2017
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
2172014
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
1852017
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
1542018
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
1442014
Deep learning for hyperspectral image classification: An overview
S Li, W Song, L Fang, Y Chen, P Ghamisi, JA Benediktsson
IEEE Transactions on Geoscience and Remote Sensing 57 (9), 6690-6709, 2019
1342019
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
1172017
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
1122014
Spectral-spatial classification of hyperspectral remote sensing images
JA Benediktsson, P Ghamisi
Artech House, 2015
972015
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
962014
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
92*2018
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
892016
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
872016
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
872016
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
862015
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