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Special Issue "Urban Features Extraction from UAV Remote Sensing Data and Images"
A special issue of Drones (ISSN 2504-446X).
Deadline for manuscript submissions: 31 July 2023 | Viewed by 448
Special Issue Editors
Interests: computer intelligence; image processing; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: mechanical learning; data mining; artificial intelligence
Interests: computer simulation; data mining
Special Issue Information
For urban planners and decision-makers, the built-up urban area is an important reference for assessing the city’s level of development and planning future changes. For this reason, remote sensing technologies play an important role in efficiently extracting multiple urban characteristics. Urban feature extraction includes a wide range of infrastructure such as roads, buildings footprints, bridges, railroads, airports, etc. Remote sensing encompasses a large spectrum of platforms for acquiring imagery, such as satellites, unmanned aerial vehicles (UAVs), and survey aircraft. This Special Issue is to capture the latest developments in remote sensing platforms, algorithms, and methodologies for acquiring and processing image/data to extract and model urban features. We welcome submissions that provide the scientific community with the most recent advancements in urban feature extraction and modeling from remote sensing data and images.
Potential topics include but are not limited to:
- Fusion and integration of multisensor data;
- Image segmentation and classification algorithms to extract urban features;
- Machine and deep learning methods for extracting urban features;
- Image acquisition using UAV platforms;
- Big data handling to extract urban features;
- Image enhancement and correction.
Dr. Kate Saenko
Dr. Kimhung Pho
Prof. Dr. Jie Yuan
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. Drones is an international peer-reviewed open access monthly 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 2000 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.
- multisensor data
- image segmentation and classification algorithms
- machine and deep learning methods
- image acquisition using UAV platforms
- big data handling
- image enhancement and correction