Cloud Detection for FY Meteorology Satellite Based on Ensemble Thresholds and Random Forests Approach
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Cloud Detection for FY Meteorology Satellite Based on Ensemble Thresholds and Random Forests Approach
Authors
Keywords
-
Journal
Remote Sensing
Volume 11, Issue 1, Pages 44
Publisher
MDPI AG
Online
2018-12-29
DOI
10.3390/rs11010044
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Optimizing outpatient appointment system using machine learning algorithms and scheduling rules: A prescriptive analytics framework
- (2018) Sharan Srinivas et al. EXPERT SYSTEMS WITH APPLICATIONS
- Effective Sequential Classifier Training for SVM-Based Multitemporal Remote Sensing Image Classification
- (2018) Yiqing Guo et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Study on Underwater Sea Cucumber Rapid Locating Based on Morphological Opening Reconstruction and Max-Entropy Threshold Algorithm
- (2018) Luzhen Ge et al. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
- Lowering the Spectral Detection Threshold for Molecular Impurities in Gas Mixtures by Interference Multiplexing
- (2018) M. P. Ivanov et al. Journal of Applied Spectroscopy
- Threshold singularities of the spectral shift function for a half-plane magnetic Hamiltonian
- (2018) Vincent Bruneau et al. JOURNAL OF FUNCTIONAL ANALYSIS
- Growth, spectral, optical, laser damage threshold and DFT investigations on 2-amino 4-methyl pyridinium 4-methoxy benzoate (2A4MP4MB): A potential organic third order nonlinear optical material for optoelectronic applications
- (2018) M. Krishnakumar et al. OPTICS AND LASER TECHNOLOGY
- Machine learning methods as a tool to analyse incomplete or irregularly sampled radon time series data
- (2018) M. Janik et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A Genetic Algorithm-Based Urban Cluster Automatic Threshold Method by Combining VIIRS DNB, NDVI, and NDBI to Monitor Urbanization
- (2018) Kangning Li et al. Remote Sensing
- An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery
- (2018) Ana de Castro et al. Remote Sensing
- A Benchmark Dataset for Performance Evaluation of Multi-Label Remote Sensing Image Retrieval
- (2018) Zhenfeng Shao et al. Remote Sensing
- Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass
- (2017) Zhenfeng Shao et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Automated detection of cloud and aerosol features with SACOL micro-pulse lidar in northwest China
- (2017) Hailing Xie et al. OPTICS EXPRESS
- Fuzzy AutoEncode Based Cloud Detection for Remote Sensing Imagery
- (2017) Zhenfeng Shao et al. Remote Sensing
- The Role of Emissivity in the Detection of Arctic Night Clouds
- (2017) Filomena Romano et al. Remote Sensing
- Downscaling Land Surface Temperature in an Arid Area by Using Multiple Remote Sensing Indices with Random Forest Regression
- (2017) Yingbao Yang et al. Remote Sensing
- The search for multiple populations in Magellanic Cloud clusters – II. The detection of multiple populations in three intermediate-age SMC clusters
- (2016) F. Niederhofer et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- An empirical and radiative transfer model based algorithm to remove thin clouds in visible bands
- (2016) Haitao Lv et al. REMOTE SENSING OF ENVIRONMENT
- Extent and Area of Swidden in Montane Mainland Southeast Asia: Estimation by Multi-Step Thresholds with Landsat-8 OLI Data
- (2016) Peng Li et al. Remote Sensing
- A cloud image detection method based on SVM vector machine
- (2015) Pengfei Li et al. NEUROCOMPUTING
- Reconstruction of passive open-path FTIR ambient spectra using meteorological measurements and its application for detection of aerosol cloud drift
- (2015) Oz Kira et al. OPTICS EXPRESS
- Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images
- (2015) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Thin cloud removal from single satellite images
- (2014) Jun Liu et al. OPTICS EXPRESS
- A New Method for Modifying Thresholds in the Classification of Tree Models for Mapping Aquatic Vegetation in Taihu Lake with Satellite Images
- (2014) Juhua Luo et al. Remote Sensing
- Cloud and cloud shadow screening across Queensland, Australia: An automated method for Landsat TM/ETM+ time series
- (2013) Nicholas R. Goodwin et al. REMOTE SENSING OF ENVIRONMENT
- The Application of Deep Convective Clouds in the Calibration and Response Monitoring of the Reflective Solar Bands of FY-3A/MERSI (Medium Resolution Spectral Imager)
- (2013) Lin Chen et al. Remote Sensing
- Automated cloud and shadow detection and filling using two-date Landsat imagery in the USA
- (2012) Suming Jin et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENµS, LANDSAT and SENTINEL-2 images
- (2010) O. Hagolle et al. REMOTE SENSING OF ENVIRONMENT
- Faces in the cloud: Fourier power spectrum biases ultrarapid face detection
- (2008) C. Honey et al. JOURNAL OF VISION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started