Artificial Intelligence and Remote Sensing Datasets

Dear Colleagues,

Nowadays, AI (artificial intelligence) is rapidly developed and is applied to a variety of remote sensing areas. Among various AI models, supervised and semi-supervised learning techniques are adopted mostly and need a great number of training data, especially for deep learning approaches. Training data, which usually is labeled data used to train AI models or machine learning algorithms to make proper inference, is paramount to the success of AI models or projects. Labeled data is a set of samples that have been tagged with one or more labels. However, labeling typically takes a great effort by asking experts to make judgments about a given set of unlabeled data to indicate data with informative tags. Accordingly labeled data through manual or semi-automatic process is significantly more expensive than the raw unlabeled data. Therefore, a proper data sharing mechanism is the keystone for the AI remote sensing community to facilitate the establishment of various AI models and algorithms.

The purpose of this Special Issue is to provide a platform for training data sharing by making labeled and unlabeled data findable and accessible through domain-specific repositories. All kinds of remote sensing data are welcome, such as images, videos, and sensor data. An article describes data descriptors containing a description of a dataset, including what methods used for collecting or producing the data, where the dataset may be found, and how to use the data with use information or a showcase.

Prof. Dr. Ming-Der Yang
Dr. Huiping Tsai
Dr. Ming-Chih Cheng
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.