Results 31 to 40 of about 93,663 (165)

A Cloud Detection Method for MODIS Images Based on the Dataset from Radiative Transfer Simulations

open access: yesAtmosphere
Accurate cloud detection is an important preprocessing step for subsequent remote sensing data processing. Traditional threshold cloud detection methods have a complex process and require a large number of threshold tests.
Zixuan Han   +5 more
doaj   +1 more source

PCNet: Cloud Detection in FY-3D True-Color Imagery Using Multi-Scale Pyramid Contextual Information

open access: yesRemote Sensing, 2021
Cloud, one of the poor atmospheric conditions, significantly reduces the usability of optical remote-sensing data and hampers follow-up applications.
Wangbin Li   +6 more
doaj   +1 more source

Real-Time Automated Classification of Sky Conditions Using Deep Learning and Edge Computing

open access: yesRemote Sensing, 2021
The radiometric quality of remotely sensed imagery is crucial for precision agriculture applications because estimations of plant health rely on the underlying quality.
Joby M. Prince Czarnecki   +4 more
doaj   +1 more source

Deep neural network-based analysis of voice biomarkers for monitoring treatment response in adolescent major depressive disorder

open access: yesCommunications Medicine
Background In adolescents, identifying objective biomarkers for treatment response is crucial for the development of effective interventions. Voice-based biomarkers have recently shown potential to capture treatment-related changes in Major Depressive ...
June-Woo Kim   +7 more
doaj   +1 more source

Benchmarking Deep Learning Models for Cloud Detection in Landsat-8 and Sentinel-2 Images

open access: yesRemote Sensing, 2021
The systematic monitoring of the Earth using optical satellites is limited by the presence of clouds. Accurately detecting these clouds is necessary to exploit satellite image archives in remote sensing applications.
Dan López-Puigdollers   +2 more
doaj   +1 more source

A Cloud Detection Method Using Convolutional Neural Network Based on Gabor Transform and Attention Mechanism with Dark Channel Subnet for Remote Sensing Image

open access: yesRemote Sensing, 2020
Cloud detection, as a crucial step, has always been a hot topic in the field of optical remote sensing image processing. In this paper, we propose a deep learning cloud detection Network that is based on the Gabor transform and Attention modules with ...
Jing Zhang   +7 more
doaj   +1 more source

Day and Night Clouds Detection Using a Thermal-Infrared All-Sky-View Camera

open access: yesRemote Sensing, 2021
The formation and evolution of clouds are associated with their thermodynamical and microphysical progress. Previous studies have been conducted to collect images using ground-based cloud observation equipment to provide important cloud characteristics ...
Yiren Wang   +9 more
doaj   +1 more source

Near-Ultraviolet to Near-Infrared Band Thresholds Cloud Detection Algorithm for TANSAT-CAPI

open access: yesRemote Sensing, 2021
Cloud and aerosol polarization imaging detector (CAPI) is one of the important payloads on the China Carbon Dioxide Observation Satellite (TANSAT), which can realize multispectral polarization detection and accurate on-orbit calibration.
Ning Ding   +8 more
doaj   +1 more source

'CodeAliker' - Plagiarism Detection on the Cloud

open access: yesAdvanced Computing: An International Journal, 2012
Plagiarism is a burning problem that academics have been facing in all of the varied levels of the educational system. With the advent of digital content, the challenge to ensure the integrity of academic work has been amplified. This paper discusses on defining a precise definition of plagiarized computer code, various solutions available for ...
openaire   +2 more sources

CloudAHSI: A Hyperspectral Dataset for Cloud Segmentation from GF-5 AHSI

open access: yesRemote Sensing
Cloud detection is essential for optical remote sensing data preprocessing. However, hyperspectral cloud detection datasets remain scarce, suffering from issues such as limited spectral coverage, small annotation scales, and a lack of scene diversity ...
Yuanyuan Jia   +3 more
doaj   +1 more source

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