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A survey of active learning algorithms for supervised remote sensing
  image classification

A survey of active learning algorithms for supervised remote sensing image classification

IEEE Journal on Selected Topics in Signal Processing (JSTSP), 2011
15 April 2021
D. Tuia
Michele Volpi
Loris Copa
M. Kanevski
Jordi Munoz-Marí
ArXiv (abs)PDFHTML

Papers citing "A survey of active learning algorithms for supervised remote sensing image classification"

49 / 49 papers shown
Hierarchical Semi-Supervised Active Learning for Remote Sensing
Hierarchical Semi-Supervised Active Learning for Remote Sensing
Wei Huang
Zhitong Xiong
Chenying Liu
Xiao Xiang Zhu
190
0
0
22 Nov 2025
CWSSNet: Hyperspectral Image Classification Enhanced by Wavelet Domain Convolution
CWSSNet: Hyperspectral Image Classification Enhanced by Wavelet Domain Convolution
Yulin Tong
Fengzong Zhang
Haiqin Cheng
139
0
0
11 Sep 2025
Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF
Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF
Syrine Belakaria
Joshua Kazdan
Charles Marx
Chris Cundy
Willie Neiswanger
Sanmi Koyejo
Barbara Engelhardt
Stefano Ermon
429
4
0
28 Mar 2025
Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification
Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image ClassificationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Yimin Zhu
Linlin Xu
DiffM
452
3
0
27 Feb 2025
Scale-Aware Recognition in Satellite Images under Resource Constraints
Scale-Aware Recognition in Satellite Images under Resource ConstraintsInternational Conference on Learning Representations (ICLR), 2024
Shreelekha Revankar
Cheng Perng Phoo
Utkarsh Mall
Bharath Hariharan
Kavita Bala
392
1
0
31 Oct 2024
regAL: Python Package for Active Learning of Regression Problems
regAL: Python Package for Active Learning of Regression Problems
Elizaveta Surzhikova
Jonny Proppe
AI4CE
273
3
0
23 Oct 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Xue Liu
Weiping Ding
Manabu Okumura
559
118
0
01 May 2024
Improving Interpretability of Deep Active Learning for Flood Inundation
  Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite
  Imagery
Improving Interpretability of Deep Active Learning for Flood Inundation Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite Imagery
Hyunho Lee
Wenwen Li
AI4CE
346
19
0
29 Apr 2024
Better, Not Just More: Data-Centric Machine Learning for Earth Observation
Better, Not Just More: Data-Centric Machine Learning for Earth ObservationIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
R. Roscher
M. Rußwurm
Caroline Gevaert
Michael C. Kampffmeyer
J. A. dos Santos
...
Ronny Hansch
Stine Hansen
Keiller Nogueira
Jonathan Prexl
D. Tuia
565
29
0
08 Dec 2023
Toulouse Hyperspectral Data Set: a benchmark data set to assess
  semi-supervised spectral representation learning and pixel-wise
  classification techniques
Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniquesIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2023
R. Thoreau
Laurent Risser
V. Achard
Béatrice Berthelot
X. Briottet
333
15
0
15 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring
OpenForest: A data catalogue for machine learning in forest monitoringEnvironmental Data Science (EDS), 2023
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
612
22
0
01 Nov 2023
Active Learning in Physics: From 101, to Progress, and Perspective
Active Learning in Physics: From 101, to Progress, and PerspectiveAdvanced Quantum Technologies (AQT), 2023
Yongcheng Ding
J. D. Martín-Guerrero
Yolanda Vives-Gilabert
Xi Chen
AI4CE
335
4
0
08 Jul 2023
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for
  Medical Image Segmentation and Classification
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification
Tao Wang
Xinlin Zhang
Yuanbo Zhou
Junlin Lan
Longxuan Zhao
Min Du
Qinquan Gao
Tong Tong
164
6
0
29 Jun 2023
Transformers in Remote Sensing: A Survey
Transformers in Remote Sensing: A SurveyRemote Sensing (RS), 2022
Abdulaziz Amer Aleissaee
Amandeep Kumar
Rao Muhammad Anwer
Salman Khan
Hisham Cholakkal
Guisong Xia
Fahad Shahbaz Khan
ViT
250
332
0
02 Sep 2022
ForestEyes Project: Conception, Enhancements, and Challenges
ForestEyes Project: Conception, Enhancements, and ChallengesFuture generations computer systems (FGCS), 2021
F. B. J. R. Dallaqua
Álvaro L. Fazenda
F. Faria
134
15
0
24 Aug 2022
Scalable First-Order Bayesian Optimization via Structured Automatic
  Differentiation
Scalable First-Order Bayesian Optimization via Structured Automatic DifferentiationInternational Conference on Machine Learning (ICML), 2022
Sebastian Ament
Daniel Schwalbe-Koda
243
12
0
16 Jun 2022
Optical Remote Sensing Image Understanding with Weak Supervision:
  Concepts, Methods, and Perspectives
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and PerspectivesIEEE Geoscience and Remote Sensing Magazine (GRSM), 2022
Jun Yue
Leyuan Fang
Pedram Ghamisi
Weiying Xie
Jun Li
Jocelyn Chanussot
Antonio J. Plaza
208
59
0
18 Apr 2022
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral
  Images
Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral ImagesIEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
Sam L. Polk
Kangning Cui
R. Plemmons
James M. Murphy
214
7
0
13 Apr 2022
A Comparative Survey of Deep Active Learning
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedMLHAI
606
130
0
25 Mar 2022
Was that so hard? Estimating human classification difficulty
Was that so hard? Estimating human classification difficulty
Morten Rieger Hannemose
Josefine Vilsbøll Sundgaard
N. K. Ternov
Rasmus Paulsen
Anders Christensen
201
5
0
22 Mar 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
Guang Dai
Gong Cheng
Deren Li
369
18
0
06 Jan 2022
Active Learning for Improved Semi-Supervised Semantic Segmentation in
  Satellite Images
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images
S. Desai
Debasmita Ghose
180
36
0
15 Oct 2021
Reinforcement Learning Approach to Active Learning for Image
  Classification
Reinforcement Learning Approach to Active Learning for Image Classification
Thorben Werner
71
1
0
12 Aug 2021
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images
Semisupervised Manifold Alignment of Multimodal Remote Sensing ImagesIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2014
D. Tuia
Michele Volpi
M. Trolliet
Gustau Camps-Valls
148
141
0
15 Apr 2021
Learning User's confidence for active learning
Learning User's confidence for active learningIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2013
D. Tuia
Jordi Munoz-Marí
242
28
0
15 Apr 2021
Recent Advances in Domain Adaptation for the Classification of Remote
  Sensing Data
Recent Advances in Domain Adaptation for the Classification of Remote Sensing DataIEEE Geoscience and Remote Sensing Magazine (GRSM), 2016
D. Tuia
Claudio Persello
Lorenzo Bruzzone
OOD
204
528
0
15 Apr 2021
A Hierarchical Approach to Remote Sensing Scene Classification
A Hierarchical Approach to Remote Sensing Scene ClassificationPFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (PFG), 2021
Ozlem Sen
H. Keles
177
9
0
29 Mar 2021
A Survey on Active Deep Learning: From Model-driven to Data-driven
Peng Liu
Lizhe Wang
Guojin He
Lei Zhao
296
21
0
25 Jan 2021
A Survey on Spatial and Spatiotemporal Prediction Methods
A Survey on Spatial and Spatiotemporal Prediction Methods
Zhe Jiang
170
4
0
24 Dec 2020
Active Learning Methods for Efficient Hybrid Biophysical Variable
  Retrieval
Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval
J. Verrelst
Sara Dethier
J. P. Rivera
Jordi Munoz-Marí
Gustau Camps-Valls
J. Moreno
112
91
0
07 Dec 2020
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar
  Image Classification
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar Image Classification
Shengjie Liu
Haowen Luo
Q. Shi
178
28
0
29 Jun 2020
Fuzziness-based Spatial-Spectral Class Discriminant Information
  Preserving Active Learning for Hyperspectral Image Classification
Fuzziness-based Spatial-Spectral Class Discriminant Information Preserving Active Learning for Hyperspectral Image Classification
Muhammad Ahmad
91
9
0
28 May 2020
Remote Sensing Image Scene Classification Meets Deep Learning:
  Challenges, Methods, Benchmarks, and Opportunities
Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and OpportunitiesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), 2020
Gong Cheng
Xingxing Xie
Junwei Han
Lei Guo
Guisong Xia
VLM
355
776
0
03 May 2020
Rényi Entropy Bounds on the Active Learning Cost-Performance
  Tradeoff
Rényi Entropy Bounds on the Active Learning Cost-Performance TradeoffInternational Symposium on Information Theory (ISIT), 2020
V. Jamali
A. Tulino
Jaime Llorca
E. Erkip
235
0
0
05 Feb 2020
Animal Detection in Man-made Environments
Animal Detection in Man-made EnvironmentsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Abhineet Singh
M. Pietrasik
Gabriell Natha
Nehla Ghouaiel
Ken Brizel
Nilanjan Ray
340
36
0
24 Oct 2019
Active Learning for Event Detection in Support of Disaster Analysis
  Applications
Active Learning for Event Detection in Support of Disaster Analysis ApplicationsSignal, Image and Video Processing (SIVP), 2019
Naina Said
Kashif Ahmad
Nicola Conci
Ala I. Al-Fuqaha
125
11
0
27 Sep 2019
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV
  Imagery using Deep CNNs and Active Learning
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active LearningIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
B. Kellenberger
Diego Marcos
Sylvain Lobry
D. Tuia
177
117
0
17 Jul 2019
Minimum-Margin Active Learning
Minimum-Margin Active Learning
Heinrich Jiang
Maya R. Gupta
153
13
0
31 May 2019
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active
  Learning
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active LearningMonthly notices of the Royal Astronomical Society (MNRAS), 2019
Mike Walmsley
Lewis Smith
Chris J. Lintott
Y. Gal
S. Bamford
...
K. Masters
C. Scarlata
B. Simmons
R. Smethurst
D. Wright
256
100
0
17 May 2019
Active Multi-Kernel Domain Adaptation for Hyperspectral Image
  Classification
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification
Cheng Deng
Xianglong Liu
Chao Li
Dacheng Tao
128
147
0
10 Apr 2019
Guess What's on my Screen? Clustering Smartphone Screenshots with Active
  Learning
Guess What's on my Screen? Clustering Smartphone Screenshots with Active Learning
Agnese Chiatti
Dolzodmaa Davaasuren
Nilam Ram
P. Mitra
Byron Reeves
Thomas N. Robinson
124
4
0
09 Jan 2019
Detecting animals in African Savanna with UAVs and the crowds
Detecting animals in African Savanna with UAVs and the crowds
Rey Nicolas
Michele Volpi
S. Joost
D. Tuia
113
139
0
06 Sep 2017
Incremental Import Vector Machines for Classifying Hyperspectral Data
Incremental Import Vector Machines for Classifying Hyperspectral Data
R. Roscher
B. Waske
W. Förstner
88
47
0
20 Aug 2017
Unsupervised Clustering and Active Learning of Hyperspectral Images with
  Nonlinear Diffusion
Unsupervised Clustering and Active Learning of Hyperspectral Images with Nonlinear Diffusion
James M. Murphy
Mauro Maggioni
DiffM
384
30
0
26 Apr 2017
Active Deep Learning for Classification of Hyperspectral Images
Active Deep Learning for Classification of Hyperspectral Images
Peng Liu
Hui Zhang
K. Eom
120
236
0
30 Nov 2016
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene
  Classification
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene ClassificationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2016
Gui-Song Xia
Jingwen Hu
Fan Hu
Baoguang Shi
X. Bai
Yanfei Zhong
Liangpei Zhang
394
2,130
0
18 Aug 2016
Towards Better Exploiting Convolutional Neural Networks for Remote
  Sensing Scene Classification
Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification
Keiller Nogueira
O. A. B. Penatti
J. A. dos Santos
285
867
0
04 Feb 2016
Soft Computing Techniques for Change Detection in remotely sensed images
  : A Review
Soft Computing Techniques for Change Detection in remotely sensed images : A Review
Madhu Khurana
Vikas Saxena
117
5
0
02 Jun 2015
Advances in Hyperspectral Image Classification: Earth monitoring with
  statistical learning methods
Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methodsIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2013
Gustavo Camps-Valls
D. Tuia
Lorenzo Bruzzone
J. Benediktsson
193
709
0
18 Oct 2013
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