Artificial Intelligence and Machine Learning with Applications in Remote Sensing

Dear Colleagues,

Recently, with the advancement of technology, there are more and more data with higher spectral, spatial and temporal resolutions obtained from active and passive sensors. In addition, the applications of remote sensing data in environmental, commercial and military fields are becoming more and more popular. This poses challenges to effectively and efficiently process big remote sensing data. In recent years, many useful feature mining algorithms, deep learning algorithms, and decision tree inspired algorithms for remote sensing data processing has drawn a lot of researchers and received unprecedented popularity. Even with so many works and algorithms have been devoted to this popular topic, there is still so much we can do about artificial intelligence, machine learning and deep learning. Therefore, this Special Issue of Remote Sensing aims to demonstrate state-of-the-art works in employing artificial intelligence machine learning and deep learning algorithms for effective and efficient remote sensing applications. Papers are solicited in, but not limited to, the following areas:

• Hyperspectral, multispectral applications with machine learning, deep learning algorithms
• Remote sensing data processing based on artificial intelligence and machine learning
• Hyperspectral, multispectral image processing
• AI/Deep learning/Machine learning for big hyperspectral, multispectral data analysis
• Remote sensing data for disasters, weather, water and climate applications based on AI/DL/ML algorithms
• Deep learning-based transfer learning
• Feature extraction with machine learning or deep learning for remote sensing data

Prof. Dr. Kuo-Chin Fan
Prof. Dr. Yang-Lang Chang
Prof. Dr. Toshifumi Moriyama
Dr. Ying-Nong Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.