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

Remote Sensing

Gwanggil Jeon¹  Valerio Bellandi²  Abdellah Chehri³ 

[1] Department of Embedded Systems Engineering, College of Information Technology, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Korea;Dipartimento di Informatica (DI), Università degli Studi di Milano, Via Celoria 18, 20133 Milano, Italy;Département des Sciences Appliquées, Université de Québec à Chicoutimi, 555 Boulevard de l’Université, Chicoutimi, QC G7H 2B1, Canada;

关键词: time series remote sensing;    data processing;    machine learning;    transfer learning;    cross-sensor learning;    image processing;   

DOI  :  10.3390/rs12172815

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown