Intelligent Spatio-Temporal Dynamic Analysis Based on Multi-Temporal Remote Sensing Images
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing Image Processing".
Deadline for manuscript submissions: 1 December 2026 | Viewed by 376
Editors
Interests: image segmentation; image description; re-identification; change detection; change description; 3D reconstruction
Special Issues, Collections and Topics in MDPI journals
Interests: image retrieval; re-identification
Interests: deep Learning; semantic segmentation; image classification; pansharpening
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the continuous enhancement of remote sensing data acquisition capabilities, especially the development of high-resolution airborne and spaceborne sensors, the means with which to accurately analyze surface dynamics from massive volumes of remote sensing images has become a frontier hotspot and core challenge in the field of remote sensing science. In order to perform the change analysis of multi-temporal remote sensing images, it is necessary to comprehensively use key technologies such as image segmentation, target association and re-identification, change detection, and image or change description. This is of vital scientific significance and meets urgent application requirements for understanding the interaction between human activities and the natural environment, thereby supporting sustainable development decisions.
This Special Issue aims to jointly explore and promote new theories, methods and technologies for multi-temporal change analysis based on remote sensing images. Our analysis follows a 'pixel–target–semantic' framework, covering high-precision image segmentation at the bottom level, cross-temporal target association and re-identification at the middle level, and change detection and semantic description at the high level. We welcome the submission of papers covering theoretical approaches and applied techniques, as well as contributions on new and advanced methods in relevant remote sensing data scenarios.
Articles may address, but are not limited, to the following topics:
- Image segmentation of airborne/spaceborne remote sensing images;
- Cross-temporal remote sensing image target association and re-identification;
- Remote sensing image description;
- Change detection and description;
- Multi-source/multi-modal data change analysis;
- Application of complex scene change analysis.
Dr. Yiming Yan
Dr. Zhiqi Pang
Prof. Dr. Suleman Mazhar
Dr. Wenxiang Zhu
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-anonymized 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
- semantic segmentation
- instance segmentation
- panoptic segmentation
- multi-temporal target correlation
- multi-temporal target re-identification
- change detection
- remote sensing image description
- change description
- change analysis application
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