Multimodal Remote Sensing Data Fusion, Analysis and Application
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 380
Special Issue Editors
Interests: remote sensing image processing and understanding; multimodal remote sensing data fusion and analysis; artificial intelligence, foundation models
Interests: real-time remote sensing; neural architecture search; disaster emergency response; unmanned aerial vehicle remote sensing; evolutionary computation
Special Issues, Collections and Topics in MDPI journals
Interests: earth vision remote sensing; computational sustainability; change detection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues，
Multisensor Earth Observation (EO) leverages data from diverse remote sensors, enabling the integration of complementary information. This has significantly advanced collaborative remote sensing applications, particularly with the rise of artificial intelligence (AI). By combining data from various spectral, spatial, and temporal sources, EO enhances accuracy and comprehensiveness in monitoring Earth processes, supporting applications in environmental monitoring, disaster management, and urban planning. The use of AI, especially deep learning, further improves the fusion and analysis of multimodal EO data, addressing challenges in data heterogeneity and boosting performance across various domains.
This Special Issue contributes to the advancement of cutting-edge AI technologies in remote sensing and data fusion, fostering innovation in analyzing complex, multi-modal RS data. By focusing on AI-driven methodologies, the Special Issue promotes the development of accurate multi-modal RS datasets, and more robust, efficient data fusion frameworks, which have significant implications for various applications such as environmental monitoring, urban planning, and disaster management.
This Special Issue invites contributions that address innovative algorithms, models, and techniques in remote sensing image processing and multidisciplinary cross application. Topics of interest include, but are not limited to the following:
- Multi-modal datasets (e.g., multispectral, hyperspectral, SAR, geospatial big data);
- Multi-modal data fusion models;
- Building damage assessment;
- Change detection;
- Image-to-image translation;
- All-weather mapping;
- Applications in disaster emergency response;
- Applications in environmental monitoring;
- Applications in urban sustainable development.
We welcome research articles, review articles, and short communications that address the challenges and opportunities in multimodal remote sensing data fusion, analysis, and application. Manuscripts may focus on new datasets, algorithms, applications, and case studies showcasing the potential of multimodal remote sensing data in addressing complex environmental and sustainable development issues.
Dr. Xiaoyan Lu
Dr. Yuting Wan
Dr. Zhuo Zheng
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- multimodal remote sensing
- data fusion
- artificial intelligence
- all-weather mapping
- change detection
- image translation
- disaster emergency assessment
- sustainable development
- environmental monitoring
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