mlsanityData to 13 Oct 2026

Cloud Detection Algorithm for Remote Sensing Images Using Fully Convolutional Neural Networks

arXiv 1810.05782 ↗First posted 13 Oct 2018cs.CVcited by 17

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Abstract (arXiv)

This paper presents a deep-learning based framework for addressing the problem of accurate cloud detection in remote sensing images. This framework benefits from a Fully Convolutional Neural Network (FCN), which is capable of pixel-level labeling of cloud regions in a Landsat 8 image. Also, a gradient-based identification approach is proposed to identify and exclude regions of snow/ice in the ground truths of the training set. We show that using the hybrid of the two methods (threshold-based and deep-learning) improves the performance of the cloud identification process without the need to manually correct automatically generated ground truths. In average the Jaccard index and recall measure are improved by 4.36% and 3.62%, respectively.

Key facts. Cited by 17 papers in the map (data through 13 Oct 2026). First posted on arXiv 13 Oct 2018.

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2021: 2; 2022: 2; 2023: 9; 2024: 3; 2025: 0; 2026: 1.

17 papers.

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  1. 2023A Comprehensive Survey on Segment Anything Model for Vision and Beyondcited by 64
  2. 2023Segment anything, from space?cited by 42
  3. 2021Remote Sensing Image Super-resolution and Object Detection: Benchmark and State of the Artcited by 17
  4. 2024Diffusion Enhancement for Cloud Removal in Ultra-Resolution Remote Sensing Imagerycited by 16
  5. 2023Detecting Clouds in Multispectral Satellite Images Using Quantum-Kernel Support Vector Machinescited by 15
  6. 2021Adversarial Attacks against a Satellite-borne Multispectral Cloud Detectorcited by 11
  7. 2023CD-CTFM: A Lightweight CNN-Transformer Network for Remote Sensing Cloud Detection Fusing Multiscale Featurescited by 4
  8. 2022Self-Configuring nnU-Nets Detect Clouds in Satellite Imagescited by 2
  9. 2023Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detectioncited by 2
  10. 2024BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagerycited by 2
  11. 2023Cloud Detection in Multispectral Satellite Images Using Support Vector Machines With Quantum Kernelscited by 1
  12. 2023Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detectioncited by 1
5 more
  1. 2024MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Imagescited by 1
  2. 2022Multiresolution Fully Convolutional Networks to detect Clouds and Snow through Optical Satellite Imagescited by 0
  3. 2023Optimizing Kernel-Target Alignment for cloud detection in multispectral satellite imagescited by 0
  4. 2023Adaptive-Labeling for Enhancing Remote Sensing Cloud Understandingcited by 0
  5. 2026Extending Decoupled Attention to Dense Prediction and Masked Training for Multi-Channel Imagescited by 0