Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects
The presence of clouds prevents optical satellite imaging systems from obtaining useful
Earth observation information and negatively affects the processing and application of …
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 …
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
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 …
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RETRACTED ARTICLE: A novel approach for scene classification from remote sensing images using deep learning methods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 …
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
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 …
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
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 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 …
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 …
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 …
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
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 …
data recorded by remote sensors. It is, therefore, of the utmost importance to detect and …