Cloud Detection

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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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

Most implemented papers archive 2025-07-28

28 shown of 28 papers with code (72 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.

• Cloud and Cloud Shadow Segmentation for Remote Sensing Imagery via Filtered Jaccard Loss Function and Parametric Augmentation
  23 Jan 2020 3 repositories listed
  Cloud and cloud shadow segmentation are fundamental processes in optical remote sensing image analysis.
• Cloud-Net: An end-to-end Cloud Detection Algorithm for Landsat 8 Imagery
  29 Jan 2019 3 repositories listed
  Cloud detection in satellite images is an important first-step in many remote sensing applications.
• 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.
• PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-performance Cloud Removal from Multi-temporal Satellite Imagery
  29 Mar 2023 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Satellite imagery analysis plays a pivotal role in remote sensing; however, information loss due to cloud cover significantly impedes its application.
• SpecTf: Transformers Enable Data-Driven Imaging Spectroscopy Cloud Detection
  9 Jan 2025 1 repository listed
  The Spectroscopic Transformer (SpecTf) addresses these challenges with a spectroscopy-specific deep learning architecture that performs cloud detection using only spectral information (no spatial or temporal data are…
• SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery
  26 Nov 2024 1 repository listed
  Our work advances pre-trained vision modeling for multispectral RS by learning from a variety of atmospheric and aerosol conditions to improve cloud and land surface monitoring.
• PGCS: Physical Law embedded Generative Cloud Synthesis in Remote Sensing Images
  22 Oct 2024 1 repository listed
  The PGCS method involves two key phases: spatial synthesis and spectral synthesis.
• High-Resolution Cloud Detection Network
  10 Jul 2024 1 repository listed
  The complexity of clouds, particularly in terms of texture detail at high resolutions, has not been well explored by most existing cloud detection networks.
• Machine Learning in Space: Surveying the Robustness of on-board ML models to Radiation
  4 May 2024 1 repository listed
  We provide factual evidence that prior work did not thoroughly examine the impact of natural hazards on ML models meant for spacecraft.
• BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
  21 Feb 2024 1 repository listed
  Within this context, this paper focus on the cloud segmentation from remote sensing imagery.
• FAKEPCD: Fake Point Cloud Detection via Source Attribution
  18 Dec 2023 1 repository listed
  Take the open-world attribution as an example, FAKEPCD attributes point clouds to known sources with an accuracy of 0.
• Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI
  23 Nov 2023 1 repository listed
  To alleviate the COT data scarcity problem, in this work we propose a novel synthetic dataset for COT estimation, that we subsequently leverage for obtaining reliable and versatile cloud masks on real data.
• Hierarchical Adaptive Voxel-guided Sampling for Real-time Applications in Large-scale Point Clouds
  23 May 2023 1 repository listed
  While point-based neural architectures have demonstrated their efficacy, the time-consuming sampler currently prevents them from performing real-time reasoning on scene-level point clouds.
• Open-Vocabulary Point-Cloud Object Detection without 3D Annotation
  3 Apr 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  In this paper, we address open-vocabulary 3D point-cloud detection by a dividing-and-conquering strategy, which involves: 1) developing a point-cloud detector that can learn a general representation for localizing…
• GraVoS: Voxel Selection for 3D Point-Cloud Detection
  18 Aug 2022 1 repository listed
  3D object detection within large 3D scenes is challenging not only due to the sparsity and irregularity of 3D point clouds, but also due to both the extreme foreground-background scene imbalance and class imbalance.
• itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection
  31 May 2022 1 repository listed
  Point-cloud based 3D object detectors recently have achieved remarkable progress.
• Weakly-Supervised Cloud Detection with Fixed-Point GANs
  23 Nov 2021 1 repository listed
  Convolutional neural networks (CNNs) have greatly advanced the state-of-the-art in the detection of clouds in satellite images, but existing CNN-based methods are costly as they require large amounts of training images…
• A lightweight deep learning based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features
  29 Apr 2021 1 repository listed
  In the encoder, three input branches are designed to handle spectral bands at their native resolution and extract multiscale spectral features.
• Explicit Basis Function Kernel Methods for Cloud Segmentation in Infrared Sky Images
  12 Feb 2021 1 repository listed
  Photovoltaic systems are sensitive to cloud shadow projection, which needs to be forecasted to reduce the noise impacting the intra-hour forecast of global solar irradiance.
• Spectral Synthesis for Satellite-to-Satellite Translation
  12 Oct 2020 1 repository listed
  These satellites have different vantage points above the earth and different spectral imaging bands resulting in inconsistent imagery from one to another.
• Convolutional neural networks for detecting challenging cases in cloud masking using Sentinel-2 imagery
  26 Aug 2020 1 repository listed
  Cloud contamination represents a large obstacle for mapping the earth’s surface using remotely sensed data.
• Fine-Tuning Self-Organizing Maps for Sentinel-2 Imagery: Separating Clouds from Bright Surfaces
  14 Jun 2020 1 repository listed
  This study evaluated a SOM for cloud masking Sentinel-2 images and proposed a fine-tuning methodology to separate clouds from bright land areas.
• Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection
  10 Jun 2020 1 repository listed
  In addition, the training of the proposed adversarial domain adaptation model can be modified to improve the performance in a specific remote sensing application, such as cloud detection, by including a dedicated term…
• Artificial neural networks for cloud masking of Sentinel-2 ocean images with noise and sunglint
  26 Jan 2020 1 repository listed
  It was shown that the ANNs trained on the second dataset perform very favourably, in contrast to the ANNs trained on the first dataset that fails to adequately represent the spectra of the noisy Sentinel-2 images.
• DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network
  9 Nov 2019 1 repository listed
  The average accuracy is 93.
• A framework for deep learning emulation of numerical models with a case study in satellite remote sensing
  29 Oct 2019 1 repository listed
  A difficult test for deep learning-based emulation, which refers to function approximation of numerical models, is to understand whether they can be comparable to traditional forms of surrogate models in terms of…
• CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation
  16 Apr 2019 1 repository listed
  In the existing literature, however, analysis of daytime and nighttime images is considered separately, mainly because of differences in image characteristics and applications.
• Multi-label Cloud Segmentation Using a Deep Network
  15 Mar 2019 1 repository listed
  Different empirical models have been developed for cloud detection.

Syntology lines on 3 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.