Cloud detection algorithm comparison and validation for …
Jun 1, 2017 · Clouds are a pervasive and unavoidable issue in satellite-borne optical imagery. Accurate, well-documented, and automated cloud detection algorithms are necessary to …
A review on deep learning techniques for cloud detection
Apr 29, 2021 · In this review, the different conventional CD methods based on threshold, time differentiation, machine learning, and the intelligent algorithms including convolution neural …
Open Satellite Image Cloud Detection Resources (OpenSICDR)
We collect the latest open-source tools and datasets for cloud and cloud shadow detection, and launch this online project (Open Satellite Image Cloud Detection Resources, i.e., OpenSICDR) …
Jun 1, 2021 · With so many different cloud detection algorithms available in the literature, it is extremely important to compare the performances of all those approaches and provide …
Machine (SVM) classifier to identify clouds from non-cloud regions using local cloud patterns. With the recent advances made in deep-learning algorithms for image segme. tation, several …
Cloud Detection - Papers With Code
Cloud detection in satellite images is an important first-step in many remote sensing applications. Cloud and cloud shadow segmentation are fundamental processes in optical remote sensing …
A Cloud Detection Algorithm for Early Morning ... - IEEE Xplore
In this study, a dynamic threshold cloud detection algorithm is proposed based on the FY-3E\MERSI-LL infrared channel, combined with auxiliary data such as sea surface temperature …
Comparison of Cloud Detection Algorithms for Sentinel-2 Imagery
We examined the relative performance of five different cloud-masking algorithms (Sen2Cor, MAJA, LaSRC, Fmask and Tmask) in 6 Sentinel-2 scenes (28 total images) distributed across …
Cloud detection methodologies: variants and development—a …
Dec 14, 2019 · Cloud detection techniques are employed by researchers using physical parameters of the cloud, such as (a) shape attributes; (b) fusion of multi-scale convolutional …
A cloud detection algorithm for satellite imagery based on deep ...
Aug 1, 2019 · In this paper, we introduce the Remote Sensing Network (RS-Net), a deep learning model for detection of clouds in optical satellite imagery, based on the U-net architecture.
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