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 …
Machine learning and big scientific data
This paper reviews some of the challenges posed by the huge growth of experimental data
generated by the new generation of large-scale experiments at UK national facilities at the …
generated by the new generation of large-scale experiments at UK national facilities at the …
[图书][B] Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep
learning in the field of earth sciences, from four leading voices Deep learning is a …
learning in the field of earth sciences, from four leading voices Deep learning is a …
[HTML][HTML] Towards a novel approach for Sentinel-3 synergistic OLCI/SLSTR cloud and cloud shadow detection based on stereo cloud-top height estimation
Sentinel-3 is an Earth observation satellite constellation launched by the European Space
Agency. Each satellite carries two optical multispectral instruments: the Ocean and Land …
Agency. Each satellite carries two optical multispectral instruments: the Ocean and Land …
Towards robust cloud detection in satellite images using U-Nets
Cloud detection is an important pre-processing step that allows us to significantly reduce the
amount of satellite imagery which should undergo further processing. In this paper, we …
amount of satellite imagery which should undergo further processing. In this paper, we …
Cross-sensor adversarial domain adaptation of Landsat-8 and Proba-V images for cloud detection
G Mateo-García, V Laparra… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
The number of Earth observation satellites carrying optical sensors with similar
characteristics is constantly growing. Despite their similarities and the potential synergies …
characteristics is constantly growing. Despite their similarities and the potential synergies …
An Introduction to Machine and Deep Learning Methods for Cloud Masking Applications
A Anzalone, A Pagliaro, A Tutone - Applied Sciences, 2024 - mdpi.com
Cloud cover assessment is crucial for meteorology, Earth observation, and environmental
monitoring, providing valuable data for weather forecasting, climate modeling, and remote …
monitoring, providing valuable data for weather forecasting, climate modeling, and remote …
Multi-spectral cloud detection based on a multi-dimensional and multi-grained dense cascade forest
M Shao, Y Zou - Journal of Applied Remote Sensing, 2021 - spiedigitallibrary.org
Cloud detection in satellite images is a vital step for cloud/land recognition, cloud/snow
discrimination, and cloud shadow removal. Accurate cloud detection plays an important role …
discrimination, and cloud shadow removal. Accurate cloud detection plays an important role …
Convolutional neural networks for cloud screening: Transfer learning from Landsat-8 to Proba-V
G Mateo-García, L Gómez-Chova - IGARSS 2018-2018 IEEE …, 2018 - ieeexplore.ieee.org
Cloud detection is a key issue for exploiting the information from Earth observation satellites
multispectral sensors. For Proba-V, cloud detection is challenging due to the limited number …
multispectral sensors. For Proba-V, cloud detection is challenging due to the limited number …
Lidar cloud detection with fully convolutional networks
E Cromwell, D Flynn - 2019 IEEE Winter Conference on …, 2019 - ieeexplore.ieee.org
In this contribution, we present a novel approach for segmenting laser radar (lidar) imagery
into geometric time-height cloud locations with a fully convolutional network (FCN). We …
into geometric time-height cloud locations with a fully convolutional network (FCN). We …