Earth Observation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 216 papers with code (518 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
  31 Aug 2017 8 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We present a novel dataset based on Sentinel-2 satellite images covering 13 spectral bands and consisting out of 10 classes with in total 27, 000 labeled and geo-referenced images.
• Proximity Forest: An effective and scalable distance-based classifier for time series
  31 Aug 2018 6 repositories listed
  We demonstrate on a 1M time series Earth observation dataset that Proximity Forest retains this accuracy on datasets that are many orders of magnitude greater than those in the UCR repository, while learning its models…
• DOTA: A Large-scale Dataset for Object Detection in Aerial Images
  28 Nov 2017 6 repositories listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  The fully annotated DOTA images contains $188, 282$ instances, each of which is labeled by an arbitrary (8 d.
• Fully Convolutional Siamese Networks for Change Detection
  19 Oct 2018 5 repositories listed
  This paper presents three fully convolutional neural network architectures which perform change detection using a pair of coregistered images.
• SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
  13 Nov 2022 4 repositories listed
  Self-supervised pre-training bears potential to generate expressive representations without human annotation.
• SARATR-X: Toward Building A Foundation Model for SAR Target Recognition
  15 May 2024 3 repositories listed
  Despite the remarkable progress in synthetic aperture radar automatic target recognition (SAR ATR), recent efforts have concentrated on detecting and classifying a specific category, e.
• Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework
  19 Apr 2024 3 repositories listed
  Land-cover mapping is one of the vital applications in Earth observation, aiming at classifying each pixel's land-cover type of remote-sensing images.
• Self-supervised Learning in Remote Sensing: A Review
  27 Jun 2022 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In deep learning research, self-supervised learning (SSL) has received great attention triggering interest within both the computer vision and remote sensing communities.
• Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
  18 Dec 2019 3 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  Based on the KPCA convolution, an unsupervised deep siamese KPCA convolutional mapping network (KPCA-MNet) is designed for binary and multi-class change detection.
• Cloud Removal in Satellite Images Using Spatiotemporal Generative Networks
  14 Dec 2019 3 repositories listed
  In contrast, we cast the problem of cloud removal as a conditional image synthesis challenge, and we propose a trainable spatiotemporal generator network (STGAN) to remove clouds.
• End-to-end learning of energy-based representations for irregularly-sampled signals and images
  1 Oct 2019 3 repositories listed
  In this paper, we address the end-to-end learning of representations of signals, images and image sequences from irregularly-sampled data, i.
• Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation
  22 Jul 2024 2 repositories listed
  Multi-sensor ML models for EO aim to enhance prediction accuracy by integrating data from various sources.
• PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery
  16 Jun 2024 2 repositories listed
  Semantic segmentation, as a basic tool for intelligent interpretation of remote sensing images, plays a vital role in many Earth Observation (EO) applications.
• MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning
  4 May 2024 2 repositories listed
  We find that pretraining with multi-modal pretext tasks notably improves the linear probing performance compared to pretraining on optical satellite images only.
• A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
  17 Apr 2024 2 repositories listed
  Nowadays the accurate geo-localization of ground-view images has an important role across domains as diverse as journalism, forensics analysis, transports, and Earth Observation.
• Globally Scalable Glacier Mapping by Deep Learning Matches Expert Delineation Accuracy
  25 Jan 2024 2 repositories listed
  Accurate global glacier mapping is critical for understanding climate change impacts.
• PhilEO Bench: Evaluating Geo-Spatial Foundation Models
  9 Jan 2024 2 repositories listed
  Massive amounts of unlabelled data are captured by Earth Observation (EO) satellites, with the Sentinel-2 constellation generating 1.
• CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images
  30 Sep 2023 2 repositories listed
  The causalimages R package enables causal inference with image and image sequence data, providing new tools for integrating novel data sources like satellite and bio-medical imagery into the study of cause and effect.
• SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
  15 Jun 2023 2 repositories listed Syntology ran 1 of 11 samples · 10 unverified
  The Landsat program is the longest-running Earth observation program in history, with 50+ years of data acquisition by 8 satellites.
• FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imagery
  23 May 2023 2 repositories listed
  The FLAIR #2 dataset hereby presented includes two very distinct types of data, which are exploited for a semantic segmentation task aimed at mapping land cover.
• Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities
  30 Jan 2023 2 repositories listed
  Via simulation, we also explore the sensitivity of satellite image-based observational inference to image resolution and to misspecification of the image-associated confounder.
• Object Detection performance variation on compressed satellite image datasets with iquaflow
  14 Jan 2023 2 repositories listed
  A lot of work has been done to reach the best possible performance of predictive models on images.
• Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images
  7 Dec 2022 2 repositories listed
  In view of these issues, we propose a more explicit and sophisticated modeling of time and accordingly establish a pair-to-video change detection (P2V-CD) framework.
• QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution
  12 Oct 2022 2 repositories listed
  Latest advances in Super-Resolution (SR) have been tested with general purpose images such as faces, landscapes and objects, mainly unused for the task of super-resolving Earth Observation (EO) images.
• Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification
  14 Jul 2022 2 repositories listed
  We present AiTLAS: Benchmark Arena -- an open-source benchmark suite for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO).
• Earthformer: Exploring Space-Time Transformers for Earth System Forecasting
  12 Jul 2022 2 repositories listed Syntology ran 0 of 11 samples · 11 unverified
  With the explosive growth of the spatiotemporal Earth observation data in the past decade, data-driven models that apply Deep Learning (DL) are demonstrating impressive potential for various Earth system forecasting…
• Self-supervised Vision Transformers for Joint SAR-optical Representation Learning
  11 Apr 2022 2 repositories listed
  Experimental results employing the BigEarthNet-MM dataset demonstrate the benefits of both, the ViT backbones and the proposed multimodal SSL algorithm DINO-MM.
• AGPCNet: Attention-Guided Pyramid Context Networks for Infrared Small Target Detection
  5 Nov 2021 2 repositories listed
  Infrared small target detection is an important problem in many fields such as earth observation, military reconnaissance, disaster relief, and has received widespread attention recently.
• Learning a Joint Embedding of Multiple Satellite Sensors: A Case Study for Lake Ice Monitoring
  19 Jul 2021 2 repositories listed
  Our application problem is the monitoring of lake ice on Alpine lakes.
• A speckle filter for Sentinel-1 SAR Ground Range Detected data based on Residual Convolutional Neural Networks
  19 Apr 2021 2 repositories listed
  In recent years, machine learning (ML) algorithms have become widespread in all the fields of remote sensing (RS) and earth observation (EO).

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.