Intelligent Remote Sensing: AI-Powered Techniques for Enhanced Data Analysis and Interpretation
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "AI Remote Sensing".
Deadline for manuscript submissions: 30 January 2025 | Viewed by 775
Special Issue Editors
Interests: hyperspectral image; remote sensing image processing; artificial intelligence; hyperspectral anomaly detection; object detection; radar signal processing
Interests: intelligent data analysis; machine learning and computer vision; computational intelligent; artificial intelligence in biomedical and industry
Special Issues, Collections and Topics in MDPI journals
2. Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin Engineering University, Harbin 150001, China
Interests: remote sensing image processing; data mining; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Intelligent Remote Sensing harnesses the power of Artificial Intelligence to revolutionize data analysis and interpretation in remote sensing. As remote sensing data deluge in from satellites and drones, AI techniques offer unprecedented capabilities for processing, classifying, and extracting insights from this vast trove of information. By automating complex tasks and revealing patterns unseen to the naked eye, this research area is crucial for advancing precision agriculture, environmental monitoring, disaster response, and urban planning, among others.
This Special Issue is highly relevant to the scope of remote sensing, as it addresses a key trend in the field: the integration of AI with remote sensing technologies. By highlighting the potential and applications of AI-driven techniques, it contributes to advancing the state of the art in remote sensing research and practice, fostering interdisciplinary collaboration and innovation.
Articles may include, but are not limited to, the following topics:
- General remote sensing image processing, including object detection, classification, segmentation, anomaly detection, change detection, denoising, fusion, etc.
- Real-world application with remote sensing data, such as optical images, SAR images, multispectral/hyperspectral images, multi-source data, and so on.
- Methodology: deep learning models, traditional models, interpretable models, etc.
Prof. Dr. Hai Wang
Dr. Nianyin Zeng
Dr. Shou Feng
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
- remote sensing image processing
- remote sensing semantic analysis
- remote sensing applications
- big data analysis
- data fusion
- artificial intelligence
- machine learning
- deep learning
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
