Recent Progress in AI-Based Satellite Sensor Calibration and Remote Sensing Applications

Dear Colleagues,

Over the past few decades, remote sensing technology has been utilized across a wide range of applications, including object detection, wildfire monitoring, and pollution surveillance. Recently, remarkable advancements have been made in two technological fields that enhance the effectiveness and practicality of remote sensing technology. These are the efficient development of high-performance satellite constellations and AI technology applied to remote sensing. With the acquisition of high-performance satellite constellation technology, it has become possible to obtain large-volume, high-resolution raw data from optical, SAR, and hyperspectral sensors, which are being used to produce high-quality products.

High-quality products can only be produced in a stable way if the quality of satellite observation raw data is guaranteed. Therefore, agencies responsible for satellite operations either directly perform calibration of high-resolution raw data or provide users with post-calibration parameters to support the production of high-quality results. Various calibration techniques for securing high quality are being widely researched. Even for satellite constellations with identical payloads, efficient calibration methods for large-scale satellite fleets are being studied, as identical calibration results cannot be guaranteed due to the errors and aging characteristics of individual satellites.

Additionally, with the advancement of artificial intelligence technology, the sophistication of remote sensing applications is rapidly progressing. AI technology applied to application fields can utilize small datasets with small-scale models, such as GANs, or employ large datasets with MML models. In the future, it is expected that advanced remote sensing will be achieved through the supply of large amounts of calibrated satellite data and the utilization of AI.

This Special Issue aims to publish studies on nearly all topics related to the calibration of high-resolution satellite data that generate high-quality products, particularly the calibration of large-scale satellite constellation data and AI utilization. Therefore, papers on fundamental theory, calibration, data processing, and AI applications are welcome.

Articles may address, but are not limited to, the following topics:

- Calibration for high-quality remote sensing products;

- Validation for high-quality remote sensing products;

- Calibration and validation of constellation satellite missions;

- AI application for high-quality remote sensing products;

- Application for high-quality remote sensing products;

- Remote sensing preprocessing;

- Image processing;

- Deep learning;

- MML, VLM, and encoders;

- AI agents.

Prof. Dr. Daewon Chung
Prof. Dr. Dongryeol Ryu
Guest Editors

Dr. Dochul Yang
Guest Editor Assistant

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.