Comparative Analysis of Methods for Cloud Segmentation in Ground-Based Infrared Images (2020-12-13T00:00:00.000000Z)

TL;DR

Generative and discriminative models are comparable when preprocessing is applied to the infrared images and Markov Random Fields achieve the best performance in both unsupervised and supervised generative models.

Authors

Guillermo Terr'en-Serrano

2 papers

Manel Mart'inez-Ram'on

2 papers

TL;DR

Authors

References80 items

Girasol, a sky imaging and global solar irradiance dataset

Hybrid approaches based on deep whole-sky-image learning to photovoltaic generation forecasting

Multi-layer wind velocity field visualization in infrared images of clouds for solar irradiance forecasting

Spatial scale effects on retrieval accuracy of surface solar radiation using satellite data

Power ramp-rates of utility-scale PV systems under passing clouds: Module-level emulation with cloud shadow modeling

Energy Forecasting: A Review and Outlook

Solar irradiance measurement instrumentation and power solar generation forecasting based on Artificial Neural Networks (ANN): A review of five years research trend.

Supervised Fine-Grained Cloud Detection and Recognition in Whole-Sky Images

Diurnal and nocturnal cloud segmentation of all-sky imager (ASI) images using enhancement fully convolutional networks

An experimental method to merge far-field images from multiple longwave infrared sensors for short-term solar forecasting

Cloud Detection in Satellite Images Based on Natural Scene Statistics and Gabor Features

Is a 100% renewable European power system feasible by 2050?

Fast Cloud Segmentation Using Convolutional Neural Networks

Effect of passing clouds on the dynamic performance of a CSP tower receiver with molten salt heat storage

CloudNet: Ground‐Based Cloud Classification With Deep Convolutional Neural Network

History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining

Reflective all-sky thermal infrared cloud imager.

Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting

Solar photovoltaic generation forecasting methods: A review

Development of an advection model for solar forecasting based on ground data first report: Development and verification of a fundamental model

Ground-Based Cloud Detection Using Graph Model Built Upon Superpixels

Output power variation of different PV array configurations during irradiance transitions caused by moving clouds

Cloud detection in all-sky images via multi-scale neighborhood features and multiple supervised learning techniques

Color-Based Segmentation of Sky/Cloud Images From Ground-Based Cameras

Automatic Recognition of Cloud Images by Using Visual Saliency Features

Assessment of direct normal irradiance and cloud connections using satellite data over Australia

Neural Networks and Support Vector Machine Algorithms for Automatic Cloud Classification of Whole-Sky Ground-Based Images

A benchmarking of machine learning techniques for solar radiation forecasting in an insular context

Automatic Cloud Detection for All-Sky Images Using Superpixel Segmentation

Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization – Extreme Learning Machine approach

Short-term forecasting of power production in a large-scale photovoltaic plant

Cloud Classification of Ground-Based Images Using Texture–Structure Features

A hybrid model (SARIMA-SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant

Predicting solar irradiance with all-sky image features via regression

Review of solar irradiance forecasting methods and a proposition for small-scale insular grids

Physics principles in radiometric infrared imaging of clouds in the atmosphere

Cloud detection, classification and motion estimation using geostationary satellite imagery for cloud cover forecast

A high-resolution, cloud-assimilating numerical weather prediction model for solar irradiance forecasting

Intra-hour DNI forecasting based on cloud tracking image analysis

The role of clouds in improving the regression model for hourly values of diffuse solar radiation

Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed

Relationship of cloud top to the tropopause and jet structure from CALIPSO data

Validation of short and medium term operational solar radiation forecasts in the US

Infrared cloud imaging in support of Earth-space optical communication.

Geospatial Analysis: A Comprehensive Guide to Principles, Techniques, and Software Tools, Second Edition - by Michael J. de Smith, Michael F. Goodchild, and Paul A. Longley

LIBLINEAR: A Library for Large Linear Classification

An introduction to ROC analysis

Cloud statistics measured with the infrared cloud imager (ICI)

Radiometric cloud imaging with an uncooled microbolometer thermal infrared camera.

Lucas-Kanade 20 Years On: A Unifying Framework

The Elements of Statistical Learning

Unsupervised segmentation of low clouds from infrared METEOSAT images based on a contextual spatio-temporal labeling approach

A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features

Weighted least squares training of support vector classifiers leading to compact and adaptive schemes

A Generalized Representer Theorem

Interannual variability of the tropical tropopause derived from radiosonde data and NCEP reanalyses

A Tutorial on Support Vector Machines for Pattern Recognition

Cloud dynamics

On the Statistical Analysis of Dirty Pictures

Optimization by Simulated Annealing

Comparison of radiative-convective models with constant and pressure-dependent lapse rates

Atmospheric Lapse Rate Regimes and Their Parameterization

Crystal statistics. I. A two-dimensional model with an order-disorder transition

Beitrag zur Theorie des Ferromagnetismus

Processing of global solar irradiance and ground-based infrared sky images for very short-term solar forecasting, 2021

United States Energy Administration I. Annual energy outlook 2021

Cloud identification model for sky images based on Otsu

Comparison of Solar Power Output Forecasting Performance of the Total Sky Imager and the University of California, San Diego Sky Imager

Correcting for focal-plane-array temperature dependence in microbolometer infrared cameras lacking thermal stabilization

Machine learning - a probabilistic perspective

Thin Cloud Detection of All-Sky Images Using Markov Random Fields

A Practical Guide to Support Vector Classication

Kernel Methods for Pattern Analysis

Markov Random Field Modeling in Image Analysis

A Variational Approach to Bayesian Logistic Regression Models and their Extensions

Markov fields on finite graphs and lattices

Cluster analysis of multivariate data : efficiency versus interpretability of classifications