Deep Learning-Based Analysis of High-Resolution Remote Sensing Images: Registration, Fusion, and Change Detection
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 534
Special Issue Editor
Special Issue Information
Dear Colleagues,
Multi-temporal optical remote sensing change detection analyzes images from different time periods, overcoming radiometric and geometric differences to extract effective surface change information. Its scientific significance and practical value make it irreplaceable for disaster assessment and the dynamic monitoring of urban planning and environmental evolution. The core challenge lies in achieving precise registration, efficient fusion, and distinguishing real changes from false alarms in order to extract useful surface change information.
This Special Issue aims to collect the latest breakthroughs in research on deep learning for the analysis of high-resolution remote sensing images, focusing on the three core tasks: registration, fusion, and change detection. It will promote the development of a new generation of intelligent processing algorithms that can address the challenges posed by massive, multi-source, and heterogeneous remote sensing data. The goal is to enhance the automation and intelligent interpretation capabilities of Earth observation systems and provide precise decision-making support for resource monitoring, urban planning, and sustainable development.
This Special Issue welcomes original research and reviews on topics including, but not limited to, the following:
- Image Registration: Deep learning-based feature extraction and matching, non-rigid registration, cross-modal/cross-temporal image registration, unsupervised and weakly supervised registration.
- Image Fusion: Pansharpening, multi-modal fusion (e.g., optical-SAR), spatio-temporal fusion, fusion techniques based on generative models.
- Change Detection: Deep networks based on difference feature mining, direct comparison, or decision-level fusion; generalizable models addressing seasonal and illumination variations; few-shot and weakly supervised change detection; 3D change analysis.
Dr. Shikai Jiang
Guest Editor
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
- deep learning
- high-resolution remote sensing images
- image registration
- image fusion
- change detection
- multi-modal data
- computer vision for remote sensing
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
