Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”

Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”

This Special Issue intended to probe the impact of the adoption of advanced machine learning methods in remote sensing applications including those considering recent big data analysis, compression, multichannel, sensor and prediction techniques. In principal, this edition of the Special Issue is fo...

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Bibliographic Details
Main Authors: Gwanggil Jeon, Valerio Bellandi, Abdellah Chehri
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Remote Sensing
Subjects:
time series remote sensing
data processing
machine learning
transfer learning
cross-sensor learning
image processing
Online Access:https://www.mdpi.com/2072-4292/12/17/2815
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spelling doaj-b9583d51080d4ba29e34201a034242b32020-11-25T03:52:11ZengMDPI AGRemote Sensing2072-42922020-08-01122815281510.3390/rs12172815Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”Gwanggil Jeon0Valerio Bellandi1Abdellah Chehri2Department of Embedded Systems Engineering, College of Information Technology, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, KoreaDipartimento di Informatica (DI), Università degli Studi di Milano, Via Celoria 18, 20133 Milano, ItalyDépartement des Sciences Appliquées, Université de Québec à Chicoutimi, 555 Boulevard de l’Université, Chicoutimi, QC G7H 2B1, CanadaThis Special Issue intended to probe the impact of the adoption of advanced machine learning methods in remote sensing applications including those considering recent big data analysis, compression, multichannel, sensor and prediction techniques. In principal, this edition of the Special Issue is focused on time series data processing for remote sensing applications with special emphasis on advanced machine learning platforms. This issue is intended to provide a highly recognized international forum to present recent advances in time series remote sensing. After review, a total of eight papers have been accepted for publication in this issue.https://www.mdpi.com/2072-4292/12/17/2815time series remote sensingdata processingmachine learningtransfer learningcross-sensor learningimage processing
collection DOAJ
language English
format Article
sources DOAJ
author Gwanggil Jeon
Valerio Bellandi
Abdellah Chehri
spellingShingle Gwanggil Jeon
Valerio Bellandi
Abdellah Chehri
Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”
Remote Sensing
time series remote sensing
data processing
machine learning
transfer learning
cross-sensor learning
image processing
author_facet Gwanggil Jeon
Valerio Bellandi
Abdellah Chehri
author_sort Gwanggil Jeon
title Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”
title_short Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”
title_full Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”
title_fullStr Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”
title_full_unstemmed Editorial for the Special Issue “Advanced Machine Learning for Time Series Remote Sensing Data Analysis”
title_sort editorial for the special issue “advanced machine learning for time series remote sensing data analysis”
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2020-08-01
description This Special Issue intended to probe the impact of the adoption of advanced machine learning methods in remote sensing applications including those considering recent big data analysis, compression, multichannel, sensor and prediction techniques. In principal, this edition of the Special Issue is focused on time series data processing for remote sensing applications with special emphasis on advanced machine learning platforms. This issue is intended to provide a highly recognized international forum to present recent advances in time series remote sensing. After review, a total of eight papers have been accepted for publication in this issue.
topic time series remote sensing
data processing
machine learning
transfer learning
cross-sensor learning
image processing
url https://www.mdpi.com/2072-4292/12/17/2815
work_keys_str_mv AT gwanggiljeon editorialforthespecialissueadvancedmachinelearningfortimeseriesremotesensingdataanalysis
AT valeriobellandi editorialforthespecialissueadvancedmachinelearningfortimeseriesremotesensingdataanalysis
AT abdellahchehri editorialforthespecialissueadvancedmachinelearningfortimeseriesremotesensingdataanalysis
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