Special Issue "Mathematical Morphology in Geoinformatics"
A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).
Deadline for manuscript submissions: closed (30 June 2016) | Viewed by 51099
Interests: segmentation; mathematical morphology; point cloud analysis
Geoinformatics is the science dealing with the capture, analysis, interpretation, dissemination, and use of geographic information. Geographic information is extensively used in applications such as basic mapping, environmental management, transport and telecommunication or urban planning, agriculture management, climate change monitoring and many others.
During the last decades, numerous new evolved acquisition systems have been developed. They provide an ever increasing amount of extremely rich data: Lidar systems, either aerial or terrestrial, hyper-spectral images with an increasing number of channels and improved resolution, among others. Automatic or semi-automatic processing techniques are required in order to extract semantic information from this data, useful to develop practical applications.
Mathematical Morphology is a non-linear image processing technique, based on the set theory. It quantitatively describes image content in terms of shape and size, in an elegant mathematical framework. It has proven to be an extremely effective technique in many applications and in particular in geographic and geoinformatic applications.
This Special Issue aims at providing a cutting edge vision of mathematical morphology advances for geoinformatics applications. Experimental and theoretical results are expected.
Topics of interest for this Special Issue include, but are not limited to, the following:
- Point cloud segmentation, classification.
- Urban scene analysis and modeling.
- Hyper-spectral image filtering, segmentation, classification
- Land use cover
- Change detection
- Satellite-based geographical services: forestry monitoring, soil moisture, damage assessment, …
Authors from academia or industry working in the above or closely related research areas are encouraged to submit original manuscripts that have not been published and are not currently under review by other journals. Prospective authors should submit the complete manuscript through the online system (https://susy.mdpi.com/user/manuscripts/upload?journal=ijgi).
Dr Beatriz Marcotegui
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed Open Access monthly journal published by MDPI.