Remote Sensing Data Preprocessing and Calibration
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 16 March 2026 | Viewed by 350
Special Issue Editors
Interests: generic object detection; oriented object detection; remote sensing; deep learning theory
Special Issue Information
Dear Colleagues,
With the rapid development of remote sensing technology, the availability of remote sensing data has rapidly increased, forming the basis for a wide range of applications in the field of Earth observation, covering a wide range of research areas, including agricultural production, climate monitoring, geological exploration, and more. However, the raw signals received by satellite, airborne, and ground-based sensors are susceptible to various distortions, including radiometric inconsistencies, geometric offsets, and atmospheric or topographic effects. Therefore, such data require careful preprocessing and calibration to ensure their consistency, comparability, and physical interpretability across time, space, and sensor types. This special issue, "Remote Sensing Data Preprocessing and Calibration," invites submissions to advance methods and practices for data correction, normalization, and harmonization. We particularly welcome the application of deep learning methods to enhance preprocessing processes and optimize uncertainty in data calibration field. This special issue aims to strengthen the application foundation of remote sensing data in diverse fields such as environmental resources, agriculture, and climate science by improving its quality and reliability.
Dr. Qi Ming
Dr. Xudong Zhao
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.
Keywords
- remote sensing preprocessing
- deep learning
- image processing
- geometric correction
- cross-sensor harmonization
- multi-source data fusion
- time-series consistency
- uncertainty assessment
- multi-modality data processing
- cloud-based processing
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