Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects

Z Li, H Shen, Q Weng, Y Zhang, P Dou… - ISPRS Journal of …, 2022 - Elsevier
The presence of clouds prevents optical satellite imaging systems from obtaining useful
Earth observation information and negatively affects the processing and application of …

Cloud detection methodologies: Variants and development—A review

S Mahajan, B Fataniya - Complex & Intelligent Systems, 2020 - Springer
Cloud detection is an essential and important process in satellite remote sensing.
Researchers proposed various methods for cloud detection. This paper reviews recent …

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

Z Li, H Shen, Q Cheng, Y Liu, S You, Z He - ISPRS Journal of …, 2019 - Elsevier
Cloud detection is an important preprocessing step for the precise application of optical
satellite imagery. In this paper, we propose a deep learning based cloud detection method …

RETRACTED ARTICLE: A novel approach for scene classification from remote sensing images using deep learning methods

X Xu, Y Chen, J Zhang, Y Chen… - European Journal of …, 2021 - Taylor & Francis
Statement of Retraction We, the Editor and Publisher of the journal European Journal of
Remote Sensing, have retracted the following articles that were published in the Special …

CloudFCN: Accurate and robust cloud detection for satellite imagery with deep learning

A Francis, P Sidiropoulos, JP Muller - Remote Sensing, 2019 - mdpi.com
Cloud masking is of central importance to the Earth Observation community. This paper
deals with the problem of detecting clouds in visible and multispectral imagery from high …

Cloud detection in satellite images with classical and deep neural network approach: A review

R Gupta, SJ Nanda - Multimedia Tools and Applications, 2022 - Springer
This article introduces a review on implementations of various methods to perform cloud
detection and its related applications such as detection of cloud shadow, types of cloud and …

Detection of cloud cover using dynamic thresholds and radiative transfer models from the polarization satellite image

C Li, J Ma, P Yang, Z Li - Journal of Quantitative Spectroscopy and …, 2019 - Elsevier
The detection of cloud using satellite observations is important for retrieval algorithms,
image visualization and climate applications. Identifying the presence of cloud and …

A discriminative distillation network for cross-source remote sensing image retrieval

W **ong, Z **ong, Y Cui, Y Lv - IEEE Journal of Selected Topics …, 2020 - ieeexplore.ieee.org
Nowadays, several remote sensing image capturing technologies are used ranging from
unmanned aerial vehicles to satellites. Powerful learning-based discriminative features play …

What is a cloud? Toward a more precise definition

D Spänkuch, O Hellmuth… - Bulletin of the American …, 2022 - journals.ametsoc.org
There are a couple of reasons to stimulate a discussion about the definition of clouds. One
reason is that the American Meteorological Society (AMS) and the World Meteorological …

The shadow effect on surface biophysical variables derived from remote sensing: a review

SK Alavipanah, M Karimi Firozjaei, A Sedighi… - Land, 2022 - mdpi.com
In remote sensing (RS), shadows play an important role, commonly affecting the quality of
data recorded by remote sensors. It is, therefore, of the utmost importance to detect and …