An Effective Cloud Detection Method for Gaofen-5 Images via Deep Learning

Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors

(2019) Zhiwei Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Cloud and cloud shadow detection in Landsat imagery based on deep convolutional neural networks

(2019) Dengfeng Chai et al.   REMOTE SENSING OF ENVIRONMENT

Cloud Detection in Remote Sensing Images Based on Multiscale Features-Convolutional Neural Network

(2019) Zhenfeng Shao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Deep learning in remote sensing applications: A meta-analysis and review

(2019) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

CDnet: CNN-Based Cloud Detection for Remote Sensing Imagery

(2019) Jingyu Yang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A cloud detection algorithm for satellite imagery based on deep learning

(2019) Jacob Høxbroe Jeppesen et al.   REMOTE SENSING OF ENVIRONMENT

Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery

(2019) Shi Qiu et al.   REMOTE SENSING OF ENVIRONMENT

Survey of Deep-Learning Approaches for Remote Sensing Observation Enhancement

(2019) Grigorios Tsagkatakis et al.   SENSORS

Introducing two Random Forest based methods for cloud detection in remote sensing images

(2018) Nafiseh Ghasemian et al.   ADVANCES IN SPACE RESEARCH

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Development of a support vector machine based cloud detection method for MODIS with the adjustability to various conditions

(2018) Haruma Ishida et al.   REMOTE SENSING OF ENVIRONMENT

Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects

(2018) David Frantz et al.   REMOTE SENSING OF ENVIRONMENT

A Hybrid Approach for Fog Retrieval Based on a Combination of Satellite and Ground Truth Data

(2018) et al.   Remote Sensing

A Cloud Detection Method for Landsat 8 Images Based on PCANet

(2018) Yue Zi et al.   Remote Sensing

Improving Semantic Image Segmentation With a Probabilistic Superpixel-Based Dense Conditional Random Field

(2018) Liang Zhang et al.   IEEE Access

Multilevel Cloud Detection for High-Resolution Remote Sensing Imagery Using Multiple Convolutional Neural Networks

(2018) Yang Chen et al.   ISPRS International Journal of Geo-Information

A new Landsat 8 cloud discrimination algorithm using thresholding tests

(2018) Yu Oishi et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Fast Cloud Segmentation Using Convolutional Neural Networks

(2018) Johannes Drönner et al.   Remote Sensing

Object-Based Convolutional Neural Networks for Cloud and Snow Detection in High-Resolution Multispectral Imagers

(2018) Lei Wang et al.   Water

Distinguishing Cloud and Snow in Satellite Images via Deep Convolutional Network

(2017) Yongjie Zhan et al.   IEEE Geoscience and Remote Sensing Letters

Multilevel Cloud Detection in Remote Sensing Images Based on Deep Learning

(2017) Fengying Xie et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Improving Fmask cloud and cloud shadow detection in mountainous area for Landsats 4–8 images

(2017) Shi Qiu et al.   REMOTE SENSING OF ENVIRONMENT

Cloud and Snow Discrimination for CCD Images of HJ-1A/B Constellation Based on Spectral Signature and Spatio-Temporal Context

(2016) Jinhu Bian et al.   Remote Sensing

A Universal Dynamic Threshold Cloud Detection Algorithm (UDTCDA) supported by a prior surface reflectance database

(2016) Lin Sun et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Radiometric normalization and cloud detection of optical satellite images using invariant pixels

(2015) Chao-Hung Lin et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images

(2015) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change

(2014) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Spatial and Temporal Distribution of Clouds Observed by MODIS Onboard the Terra and Aqua Satellites

(2013) Michael D. King et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Object-based cloud and cloud shadow detection in Landsat imagery

(2011) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENµS, LANDSAT and SENTINEL-2 images

(2010) O. Hagolle et al.   REMOTE SENSING OF ENVIRONMENT

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT

Use of Markov Random Fields for automatic cloud/shadow detection on high resolution optical images

(2009) Sylvie Le Hégarat-Mascle et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Developing clear-sky, cloud and cloud shadow mask for producing clear-sky composites at 250-meter spatial resolution for the seven MODIS land bands over Canada and North America

(2008) Y LUO et al.   REMOTE SENSING OF ENVIRONMENT