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Self-supervised Learning in Remote Sensing: A Review

Self-supervised Learning in Remote Sensing: A Review

27 June 2022
Yi Wang
C. Albrecht
Nassim Ait Ali Braham
Lichao Mou
Xiao Xiang Zhu
ArXivPDFHTML

Papers citing "Self-supervised Learning in Remote Sensing: A Review"

36 / 36 papers shown
Title
Very High-Resolution Forest Mapping with TanDEM-X InSAR Data and Self-Supervised Learning
Very High-Resolution Forest Mapping with TanDEM-X InSAR Data and Self-Supervised Learning
José-Luis Bueso-Bello
Benjamin Chauvel
Daniel Carcereri
Philipp Posovszky
Pietro Milillo
...
Juan-Carlos Fernández-Diaz
Carolina González
Michele Martone
Ronny Hänsch
Paola Rizzoli
29
0
0
06 May 2025
Towards a Unified Copernicus Foundation Model for Earth Vision
Towards a Unified Copernicus Foundation Model for Earth Vision
Yi Wang
Zhitong Xiong
Chenying Liu
Adam J. Stewart
Thomas Dujardin
...
Angelos Zavras
Franziska Gerken
Ioannis Papoutsis
Laura Leal-Taixé
Xiao Xiang Zhu
50
1
0
14 Mar 2025
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges
Aitor Sánchez-Ferrera
Borja Calvo
Jose A. Lozano
AI4TS
37
0
0
28 Jan 2025
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
Jinlin Li
Xiao Zhou
36
0
0
13 Jan 2025
Detection of Animal Movement from Weather Radar using Self-Supervised
  Learning
Detection of Animal Movement from Weather Radar using Self-Supervised Learning
Mubin Ul Haque
J. Dabrowski
Rebecca M. Rogers
Hazel Parry
SSL
26
0
0
08 Aug 2024
Paving the way toward foundation models for irregular and unaligned
  Satellite Image Time Series
Paving the way toward foundation models for irregular and unaligned Satellite Image Time Series
Iris Dumeur
Silvia Valero
Jordi Inglada
37
3
0
11 Jul 2024
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation
Chenying Liu
C. Albrecht
Yi Wang
Xiao Xiang Zhu
62
2
0
02 May 2024
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
Ayumu Saito
Prachi Kudeshia
Jiju Poovvancheri
3DPC
42
7
0
25 Apr 2024
Hyperspectral unmixing for Raman spectroscopy via physics-constrained
  autoencoders
Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders
Dimitar Georgiev
Álvaro Fernández-Galiana
Simon Vilms Pedersen
Georgios Papadopoulos
Ruoxiao Xie
Molly M. Stevens
Mauricio Barahona
34
3
0
07 Mar 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
15
0
30 Jan 2024
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
PhilEO Bench: Evaluating Geo-Spatial Foundation Models
Casper Fibaek
Luke Camilleri
Andreas Luyts
Nikolaos Dionelis
B. L. Saux
44
16
0
09 Jan 2024
Predicting Gradient is Better: Exploring Self-Supervised Learning for
  SAR ATR with a Joint-Embedding Predictive Architecture
Predicting Gradient is Better: Exploring Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecture
Wei-Jang Li
Yang Wei
Tianpeng Liu
Yuenan Hou
Yuxuan Li
Zhen Liu
Yongxiang Liu
Li Liu
25
18
0
26 Nov 2023
Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping
Learning Tri-modal Embeddings for Zero-Shot Soundscape Mapping
Subash Khanal
S. Sastry
A. Dhakal
Nathan Jacobs
48
8
0
19 Sep 2023
Joint multi-modal Self-Supervised pre-training in Remote Sensing:
  Application to Methane Source Classification
Joint multi-modal Self-Supervised pre-training in Remote Sensing: Application to Methane Source Classification
P. Berg
M. Pham
Nicolas Courty
SSL
25
2
0
16 Jun 2023
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
Adam J. Stewart
Nils Lehmann
Isaac Corley
Yi Wang
Yi-Chia Chang
Nassim Ait Ali Braham
Shradha Sehgal
Caleb Robinson
Arindam Banerjee
29
29
0
15 Jun 2023
Active Learning Guided Fine-Tuning for enhancing Self-Supervised Based
  Multi-Label Classification of Remote Sensing Images
Active Learning Guided Fine-Tuning for enhancing Self-Supervised Based Multi-Label Classification of Remote Sensing Images
Lars Möllenbrok
Begum Demir
16
3
0
12 Jun 2023
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with
  Benchmarks Using Supervised and Self-supervised Learning
FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
Shuchang Shen
Sachith Seneviratne
Xinye Wanyan
M. Kirley
41
13
0
13 Mar 2023
Supervised and Contrastive Self-Supervised In-Domain Representation
  Learning for Dense Prediction Problems in Remote Sensing
Supervised and Contrastive Self-Supervised In-Domain Representation Learning for Dense Prediction Problems in Remote Sensing
Ali Ghanbarzade
Hossein Soleimani
SSL
31
0
0
29 Jan 2023
A Novel Semisupervised Contrastive Regression Framework for Forest
  Inventory Mapping with Multisensor Satellite Data
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data
Shaojia Ge
Hong Gu
W. Su
Anne Lonnqvist
O. Antropov
30
4
0
01 Dec 2022
Self-supervised remote sensing feature learning: Learning Paradigms,
  Challenges, and Future Works
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
Chao Tao
Ji Qi
Mingning Guo
Qing Zhu
Haifeng Li
SSL
24
56
0
15 Nov 2022
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for
  Self-Supervised Learning in Earth Observation
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
Yi Wang
Nassim Ait Ali Braham
Zhitong Xiong
Chenying Liu
C. Albrecht
Xiao Xiang Zhu
26
71
0
13 Nov 2022
HyperNet: Self-Supervised Hyperspectral Spatial-Spectral Feature
  Understanding Network for Hyperspectral Change Detection
HyperNet: Self-Supervised Hyperspectral Spatial-Spectral Feature Understanding Network for Hyperspectral Change Detection
Meiqi Hu
Chen Wu
L. Zhang
SSL
31
57
0
20 Jul 2022
Continual Barlow Twins: continual self-supervised learning for remote
  sensing semantic segmentation
Continual Barlow Twins: continual self-supervised learning for remote sensing semantic segmentation
V. Marsocci
Simone Scardapane
CLL
33
25
0
23 May 2022
Self-Supervised Learning for Invariant Representations from
  Multi-Spectral and SAR Images
Self-Supervised Learning for Invariant Representations from Multi-Spectral and SAR Images
P. Jain
Bianca Schoen-Phelan
R. Ross
24
32
0
04 May 2022
AiTLAS: Artificial Intelligence Toolbox for Earth Observation
AiTLAS: Artificial Intelligence Toolbox for Earth Observation
I. Dimitrovski
Ivan Kitanovski
P. Panov
Nikola Simidjievski
D. Kocev
29
10
0
21 Jan 2022
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying
  Ancient Urbanization in the South Central Andes
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes
Jiachen Xu
Junlin Guo
James Zimmer-Dauphinee
Quan Liu
Yuxuan Shi
Zuhayr Asad
D. Mitchell Wilkes
Parker VanValkenburgh
Steven A. Wernke
Yuankai Huo
SSL
24
2
0
13 Dec 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Homography augumented momentum constrastive learning for SAR image
  retrieval
Homography augumented momentum constrastive learning for SAR image retrieval
Seonho Park
M. Rysz
Kathleen M. Dipple
P. Pardalos
28
1
0
21 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
279
0
12 Feb 2021
Self-supervised pre-training enhances change detection in Sentinel-2
  imagery
Self-supervised pre-training enhances change detection in Sentinel-2 imagery
Marrit Leenstra
Diego Marcos
F. Bovolo
D. Tuia
SSL
72
42
0
20 Jan 2021
Semantic Segmentation of Remote Sensing Images with Sparse Annotations
Semantic Segmentation of Remote Sensing Images with Sparse Annotations
Yuansheng Hua
Diego Marcos
Lichao Mou
Xiaoxiang Zhu
D. Tuia
33
81
0
10 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
Self-Supervised Feature Learning by Learning to Spot Artifacts
Self-Supervised Feature Learning by Learning to Spot Artifacts
Simon Jenni
Paolo Favaro
SSL
147
127
0
13 Jun 2018
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
209
292
0
01 May 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
242
31,257
0
16 Jan 2013
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