Joint Artificial Intelligence and Computer Vision Applications in Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 August 2019) | Viewed by 57000
Special Issue Editors
Interests: intelligent mechatronic systems, artificial intelligence, pattern recognition, robotics vision (aerial, ground, and underwater autonomous systems), remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning, mobile robotics (UAV, UGV, USV), remote sensing, hyperspectral image analysis, precision farming, geographical information systems (GIS)
Special Issues, Collections and Topics in MDPI journals
Interests: compressed sensing; signal and image processing; pattern recognition; computer vision; hyperspectral image analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Thanks to the proliferation of satellites and aerial vehicles, including Unmanned Aerial Vehicles (UAVs), equipped with several sensors, including Laser, Lidar, and multi-spectral and hyperspectral cameras, and thanks to improvements in data storage and transfer capabilities, today Remote Sensing produces large quantities of data in the spectral, temporal, and spatial domains. The imagery analytics and interpretation cannot be performed by human imagery analysts any more. Techniques for automating the image analysis process would be advanced by the inclusion of Artificial Intelligence and Computer Vision techniques in the design of most remote sensing applications. Classical machine learning techniques, from neural networks to fuzzy rules and Support Vector Machine algorithms, as well as novel Deep Learning approaches, have been proposed to address the more challenging remote sensing problems. This Special Issue focuses on current research on artificial intelligence and computer vision for remote sensing applications. Just some examples of the topics addressed are the automated analysis of multispectral imagery, normalization (weather, lenses, and natural changes in lighting throughout the day/year) of satellite images, land-use land-cover classification, precision agriculture, change detection, semantic segmentation, object/target detection and recognition, 3D reconstruction and shape modeling, intelligent onboard processing, advanced database interrogation, data fusion technologies, urban planning, environmental quality monitoring, humanitarian crisis management, etc.
Prof. Primo Zingaretti
Prof. Adriano Mancini
Dr. Chen Chen
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
- artificial intelligence
- computer vision
- pattern recognition
- big data
- geospatial data analysis
- monitoring
- problem solving
- decision support systems
- 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.