Special Issue "Intelligent Perception in Urban Spaces from Photogrammetry and Remote Sensing"
Deadline for manuscript submissions: 31 August 2022 | Viewed by 2805
Interests: image- and LiDAR-based segmentation and reconstruction; UAV photogrammetry and digital terrain analysis and related photogrammetry and remote sensing applications in the field of civil engineering; land use change and geomorphology
Interests: object-based image analysis and deep learning for geomorphometry and urban remote sensing applications
Interests: high-resolution time series remote sensing; intelligent image analysis and geocomputation; geospatial information sciences
Interests: digital processing of emerging remotely sensed data, such as those collected by LiDAR; hyperspectral and high-spatial-resolution sensors; spatial analysis and modeling; high-performance geocomputation
Cities play an important role in global society and the economy, as well as the environment as a whole. With the recent development of photogrammetry and remote sensing, more and more recent technologies are being introduced to urban studies and new methodologies, which take advantage of these technologies, are being proposed. For example, object-based image analysis (OBIA), machine/deep learning and time series analysis, and other new methodologies significantly improved the degree of intelligence in urban studies. While the achievements of these early works laid a great foundation through proof-of-concept studies, we are now in a position to instill intelligent perceptions in every practical aspect of urban spaces.
To achieve this, there remain a number of challenges. These include practical issues, such as designing new devices or frameworks for data collection, enhancing current object-based image analysis methods for high-resolution data, adapting new machine/deep learning methods for the specifics of urban studies, and developing other new methods to better understand urban processes. Although proof-of-concept work is still necessary, original research with practical applications must be proposed and carried out to enrich the current state of the art.
In this issue, we welcome all novel urban studies that deploy remote sensing or photogrammetric technologies to achieve intelligent perception in urban spaces. We intend to cover all practical aspects ranging from data generation, data processing, spatial analysis and statistics, and innovative applications. Potential topics include, but are not limited to, 3D city morphology, city renewal, land use/land cover (LULC) and change detection, urban sprawl modelling, urban heat islands response, urban rainstorm waterlogging risk assessment, and multiple-source, data-based urban fringe recognition. Both original research papers and reviews with unique scientific insights are welcome. This Special Issue will be a comprehensive collection of articles, which reflect the current research progress in urban studies.
Dr. Jiaming Na
Dr. Hu Ding
Prof. Dr. Yingchun Fu
Prof. Dr. Fang Qiu
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 2500 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.
- object-based image analysis (OBIA)
- time series analysis
- deep learning
- machine learning
- spatial temporal change detection
- urban renewal
- 3D urban morphology
- land use/land cover (LULC)