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Deep Learning for Classification of Hyperspectral Data: A Comparative
  Review

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

24 April 2019
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
ArXivPDFHTML

Papers citing "Deep Learning for Classification of Hyperspectral Data: A Comparative Review"

20 / 20 papers shown
Title
Hyperspectral Image Land Cover Captioning Dataset for Vision Language Models
Hyperspectral Image Land Cover Captioning Dataset for Vision Language Models
Aryan Das
Tanishq Rachamalla
Pravendra Singh
Koushik Biswas
Vinay Kumar Verma
Swalpa Kumar Roy
VLM
12
0
0
18 May 2025
HSIGene: A Foundation Model For Hyperspectral Image Generation
HSIGene: A Foundation Model For Hyperspectral Image Generation
Li Pang
Datao Tang
Shuang Xu
Deyu Meng
Xiangyong Cao
DiffM
39
13
0
19 Sep 2024
AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging
AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging
Andrea Dosi
Massimo Brescia
S. Cavuoti
Mariarca DÁniello
M. D. Veneri
...
Adriano Ettari
Giuseppe Longo
Alvi Rownok
Luca Sannino
Maria Zampella
35
1
0
14 Sep 2024
Hierarchical Homogeneity-Based Superpixel Segmentation: Application to
  Hyperspectral Image Analysis
Hierarchical Homogeneity-Based Superpixel Segmentation: Application to Hyperspectral Image Analysis
Luciano C. Ayres
Sérgio J. M. de Almeida
José C. M. Bermudez
R. Borsoi
31
0
0
22 Jul 2024
A Universal Knowledge Embedded Contrastive Learning Framework for
  Hyperspectral Image Classification
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification
Quanwei Liu
Yanni Dong
Tao Huang
Lefei Zhang
Bo Du
VLM
39
1
0
02 Apr 2024
Remote Sensing Scene Classification with Masked Image Modeling (MIM)
Remote Sensing Scene Classification with Masked Image Modeling (MIM)
Liya Wang
A. Tien
35
3
0
28 Feb 2023
Training Methods of Multi-label Prediction Classifiers for Hyperspectral
  Remote Sensing Images
Training Methods of Multi-label Prediction Classifiers for Hyperspectral Remote Sensing Images
S. Haidar
José Oramas
39
3
0
17 Jan 2023
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing
A Multibranch Convolutional Neural Network for Hyperspectral Unmixing
Lukasz Tulczyjew
M. Kawulok
Nicolas Longépé
Bertrand Le Saux
J. Nalepa
14
12
0
03 Aug 2022
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from
  Sentinel-2 Image Series
Graph Neural Networks Extract High-Resolution Cultivated Land Maps from Sentinel-2 Image Series
Lukasz Tulczyjew
M. Kawulok
Nicolas Longépé
Bertrand Le Saux
J. Nalepa
21
14
0
03 Aug 2022
Self Supervised Learning for Few Shot Hyperspectral Image Classification
Self Supervised Learning for Few Shot Hyperspectral Image Classification
Nassim Ait Ali Braham
Lichao Mou
Jocelyn Chanussot
Julien Mairal
Xiao Xiang Zhu
24
12
0
24 Jun 2022
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral
  Remote Sensing Image Classification
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification
M. Joshaghani
Amirabbas Davari
F. Hatamian
Andreas K. Maier
Christian Riess
UQCV
BDL
18
7
0
19 May 2022
Unsupervised Segmentation of Hyperspectral Remote Sensing Images with
  Superpixels
Unsupervised Segmentation of Hyperspectral Remote Sensing Images with Superpixels
Mirko Paolo Barbato
Paolo Napoletano
Flavio Piccoli
Raimondo Schettini
19
20
0
26 Apr 2022
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise
  Semantic Labeling
Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling
Yang Long
Gui-Song Xia
Lefei Zhang
Gong Cheng
Deren Li
16
14
0
06 Jan 2022
Multi-modal land cover mapping of remote sensing images using pyramid
  attention and gated fusion networks
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
38
14
0
06 Nov 2021
Seeing biodiversity: perspectives in machine learning for wildlife
  conservation
Seeing biodiversity: perspectives in machine learning for wildlife conservation
D. Tuia
B. Kellenberger
Sara Beery
Blair R. Costelloe
Silvia Zuffi
...
I. Couzin
Grant Van Horn
M. Crofoot
Chuck Stewart
T. Berger-Wolf
33
392
0
25 Oct 2021
spectrai: A deep learning framework for spectral data
spectrai: A deep learning framework for spectral data
C. Horgan
Mads S. Bergholt
VLM
21
4
0
17 Aug 2021
Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software,
  Guidelines and Future Directions
Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions
W. Sleeman
R. Kapoor
AI4TS
17
71
0
24 Jul 2021
AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral
  Image Analysis
AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral Image Analysis
R. Lyngdoh
Anand S. Sahadevan
Touseef Ahmad
P. Rathore
Manoj K. Mishra
P. Gupta
A. Misra
11
13
0
24 Jun 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis
Towards a Collective Agenda on AI for Earth Science Data Analysis
D. Tuia
R. Roscher
Jan Dirk Wegner
Nathan Jacobs
Xiaoxiang Zhu
Gustau Camps-Valls
AI4CE
39
68
0
11 Apr 2021
Three dimensional Deep Learning approach for remote sensing image
  classification
Three dimensional Deep Learning approach for remote sensing image classification
A. Ben Hamida
A. Benoît
P. Lambert
C. Ben Amar
41
568
0
15 Jun 2018
1