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BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive
  for Remote Sensing Image Classification and Retrieval
v1v2 (latest)

BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval

IEEE Geoscience and Remote Sensing Magazine (GRSM), 2021
17 May 2021
Gencer Sumbul
Arne de Wall
Tristan Kreuziger
F. Marcelino
H. Costa
P. Benevides
M. Caetano
Begüm Demir
Volker Markl
ArXiv (abs)PDFHTML

Papers citing "BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval"

50 / 65 papers shown
DWFF-Net : A Multi-Scale Farmland System Habitat Identification Method with Adaptive Dynamic Weight
DWFF-Net : A Multi-Scale Farmland System Habitat Identification Method with Adaptive Dynamic Weight
Kesong Zheng
Zhi Song
Peizhou Li
Shuyi Yao
Zhenxing Bian
304
0
0
11 Nov 2025
GeoCrossBench: Cross-Band Generalization for Remote Sensing
GeoCrossBench: Cross-Band Generalization for Remote Sensing
Hakob Tamazyan
Ani Vanyan
Alvard Barseghyan
Anna Khosrovyan
Evan Shelhamer
Hrant Khachatrian
124
0
0
04 Nov 2025
Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges
Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges
Liling Yang
Ning Chen
Jun Yue
Yidan Liu
Jiayi Ma
Pedram Ghamisi
Antonio J. Plaza
Leyuan Fang
AI4TS
248
2
0
27 Oct 2025
Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification
Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification
Chenying Liu
Gianmarco Perantoni
Lorenzo Bruzzone
Xiao Xiang Zhu
155
0
0
09 Oct 2025
CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
CSMoE: An Efficient Remote Sensing Foundation Model with Soft Mixture-of-Experts
Leonard Hackel
Tom Burgert
Begüm Demir
230
1
0
17 Sep 2025
Can Multitask Learning Enhance Model Explainability?
Can Multitask Learning Enhance Model Explainability?
Hiba Najjar
Bushra Alshbib
A. Dengel
120
0
0
09 Aug 2025
On the Effectiveness of Methods and Metrics for Explainable AI in Remote Sensing Image Scene Classification
On the Effectiveness of Methods and Metrics for Explainable AI in Remote Sensing Image Scene ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE J-STARS), 2025
Jonas Klotz
Tom Burgert
Tim Siebert
444
3
0
08 Jul 2025
Thalia: A Global, Multi-Modal Dataset for Volcanic Activity Monitoring
Thalia: A Global, Multi-Modal Dataset for Volcanic Activity Monitoring
Nikolas Papadopoulos
Nikolaos Ioannis Bountos
Maria Sdraka
Andreas Karavias
Ioannis Papoutsis
Ioannis Papoutsis
274
0
0
23 May 2025
Visual Question Answering on Multiple Remote Sensing Image Modalities
Visual Question Answering on Multiple Remote Sensing Image Modalities
Hichem Boussaid
Lucrezia Tosato
F. Weissgerber
Camille Kurtz
Laurent Wendling
Sylvain Lobry
199
8
0
21 May 2025
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
Towards Efficient Benchmarking of Foundation Models in Remote Sensing: A Capabilities Encoding Approach
Pierre Adorni
M. Pham
Stéphane May
Sébastien Lefèvre
294
4
0
06 May 2025
FPGA-Based Neural Network Accelerators for Space Applications: A Survey
FPGA-Based Neural Network Accelerators for Space Applications: A Survey
Pedro Antunes
Artur Podobas
328
5
0
22 Apr 2025
TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data
TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data
Benedikt Blumenstiel
P. Fraccaro
V. Marsocci
Johannes Jakubik
Stefano Maurogiovanni
...
Rocco Sedona
Gabriele Cavallaro
Thomas Brunschwiler
Juan Bernabé-Moreno
Nicolas Longépé
334
11
0
15 Apr 2025
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval
Shabnam Choudhury
Yash Salunkhe
Sarthak Mehrotra
Biplab Banerjee
373
3
0
04 Apr 2025
A Survey on Remote Sensing Foundation Models: From Vision to Multimodality
A Survey on Remote Sensing Foundation Models: From Vision to Multimodality
Ziyue Huang
Hongxi Yan
Qiqi Zhan
Shuai Yang
Mingming Zhang
Yiming Lei
Chenkai Zhang
Zeming Liu
Qingjie Liu
Longji Xu
507
16
0
28 Mar 2025
A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification
A Multi-Modal Federated Learning Framework for Remote Sensing Image ClassificationIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Barış Büyüktaş
Gencer Sumbul
Tim Siebert
361
1
0
13 Mar 2025
GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysis
GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysis
Angelos Zavras
Dimitrios Michail
Xiao Xiang Zhu
Tim Siebert
Ioannis Papoutsis
VLM
503
5
0
13 Feb 2025
OReole-FM: successes and challenges toward billion-parameter foundation
  models for high-resolution satellite imagery
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery
P. Dias
A. Tsaris
Jordan Bowman
Abhishek Potnis
Jacob Arndt
H. Yang
D. Lunga
263
16
0
25 Oct 2024
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer
  Learning
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer LearningInternational Journal of Remote Sensing (IJRS), 2024
Isaac Ray
Alexei Skurikhin
444
1
0
05 Sep 2024
Can SAR improve RSVQA performance?
Can SAR improve RSVQA performance?
Lucrezia Tosato
Sylvain Lobry
Flora Weissgerber
Laurent Wendling
171
4
0
28 Aug 2024
SpectralEarth: Training Hyperspectral Foundation Models at Scale
SpectralEarth: Training Hyperspectral Foundation Models at ScaleIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2024
Nassim Ait Ali Braham
C. Albrecht
Julien Mairal
J. Chanussot
Yi Wang
X. Zhu
344
43
0
15 Aug 2024
DeepExtremeCubes: Integrating Earth system spatio-temporal data for
  impact assessment of climate extremes
DeepExtremeCubes: Integrating Earth system spatio-temporal data for impact assessment of climate extremes
Chaonan Ji
Tonio Fincke
V. Benson
Gustau Camps-Valls
Miguel-Angel Fernandez-Torres
...
Oscar J. Pellicer-Valero
Claire Robin
Maximilian Soechting
M. Weynants
Miguel D. Mahecha
212
6
0
26 Jun 2024
Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling
Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling
Fengxiang Wang
H. Wang
Haiyan Zhao
Zonghao Guo
Zhenyu Zhong
Long Lan
Wenjing Yang
Jing Zhang
552
0
0
17 Jun 2024
A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing
  pre-training method based on anchor-aware masked autoencoder
A2^{2}2-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder
Lixian Zhang
Yi Zhao
Runmin Dong
Jinxiao Zhang
Shuai Yuan
...
Weijia Li
Wei Liu
Wayne Zhang
Xue Jiang
Haohuan Fu
362
12
0
12 Jun 2024
Multi-Label Guided Soft Contrastive Learning for Efficient Earth
  Observation Pretraining
Multi-Label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining
Yi Wang
C. Albrecht
Xiao Xiang Zhu
345
26
0
30 May 2024
Composed Image Retrieval for Remote Sensing
Composed Image Retrieval for Remote Sensing
Bill Psomas
Ioannis Kakogeorgiou
Nikos Efthymiadis
Giorgos Tolias
Ondřej Chum
Yannis Avrithis
Konstantinos Karantzalos
493
16
0
24 May 2024
Transformer-based Federated Learning for Multi-Label Remote Sensing
  Image Classification
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification
Baris Büyüktas
Kenneth Weitzel
Sebastian Völkers
Felix Zailskas
Tim Siebert
371
16
0
24 May 2024
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2024
Tom Burgert
Kai Norman Clasen
Kai Norman Clasen
Tim Siebert
Begüm Demir
525
2
0
22 May 2024
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial
  Representation Learning
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation LearningEuropean Conference on Computer Vision (ECCV), 2024
Vishal Nedungadi
A. Kariryaa
Stefan Oehmcke
Serge Belongie
Christian Igel
Nico Lang
411
78
0
04 May 2024
OmniSat: Self-Supervised Modality Fusion for Earth Observation
OmniSat: Self-Supervised Modality Fusion for Earth Observation
Guillaume Astruc
Nicolas Gonthier
Clement Mallet
Loic Landrieu
463
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12 Apr 2024
ViGEO: an Assessment of Vision GNNs in Earth Observation
ViGEO: an Assessment of Vision GNNs in Earth Observation
Luca Colomba
Paolo Garza
176
1
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15 Feb 2024
Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment
Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment
Angelos Zavras
Dimitrios Michail
Tim Siebert
Ioannis Papoutsis
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15 Feb 2024
Artificial Intelligence for Literature Reviews: Opportunities and
  Challenges
Artificial Intelligence for Literature Reviews: Opportunities and Challenges
Francisco Bolanos
Angelo Salatino
Francesco Osborne
Enrico Motta
213
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13 Feb 2024
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in
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Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote SensingIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Jakob Hackstein
Gencer Sumbul
Kai Norman Clasen
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463
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15 Jan 2024
Fus-MAE: A cross-attention-based data fusion approach for Masked Autoencoders in remote sensing
Fus-MAE: A cross-attention-based data fusion approach for Masked Autoencoders in remote sensing
Hugo Chan-To-Hing
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466
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05 Jan 2024
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards
  Universal Interpretation for Earth Observation Imagery
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation ImageryComputer Vision and Pattern Recognition (CVPR), 2023
Xin Guo
Jiangwei Lao
Bo Dang
Yingying Zhang
Lei Yu
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Jian Wang
Jingdong Chen
Ming Yang
Yongjun Zhang
Yansheng Li
415
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15 Dec 2023
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 ArchitectureIsprs Journal of Photogrammetry and Remote Sensing (ISPRS J. Photogramm. Remote Sens.), 2023
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Tianpeng Liu
Yuenan Hou
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26 Nov 2023
Federated Learning Across Decentralized and Unshared Archives for Remote
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Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image ClassificationIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
Baris Büyüktas
Gencer Sumbul
Begüm Demir
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CROMA: Remote Sensing Representations with Contrastive Radar-Optical
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A. Fuller
K. Millard
James R. Green
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OpenForest: A data catalogue for machine learning in forest monitoring
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Arthur Ouaknine
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There Are No Data Like More Data- Datasets for Deep Learning in Earth
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There Are No Data Like More Data- Datasets for Deep Learning in Earth ObservationIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
Michael Schmitt
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Yonghao Xu
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Ujjwal Verma
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Ronny Hansch
261
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Feature Guided Masked Autoencoder for Self-supervised Learning in Remote
  Sensing
Feature Guided Masked Autoencoder for Self-supervised Learning in Remote SensingIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2023
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Hugo Hernández Hernández
C. Albrecht
Xiao Xiang Zhu
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FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From
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Ben-ge: Extending BigEarthNet with Geographical and Environmental Data
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A generic self-supervised learning (SSL) framework for representation
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GEO-Bench: Toward Foundation Models for Earth Monitoring
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Transformer-based Multi-Modal Learning for Multi Label Remote Sensing
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Learning Across Decentralized Multi-Modal Remote Sensing Archives with
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Gencer Sumbul
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234
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Isaac Corley
Caleb Robinson
Rahul Dodhia
J. L. Ferres
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343
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Vision-Language Models in Remote Sensing: Current Progress and Future
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Vision-Language Models in Remote Sensing: Current Progress and Future TrendsIEEE Geoscience and Remote Sensing Magazine (GRSM), 2023
Xiang Li
Congcong Wen
Yuan Hu
Zhenghang Yuan
Xiao Xiang Zhu
VLM
419
187
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