Special Issue "Advances in Geographic Object-Based Image Analysis (GEOBIA)"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (15 July 2014)
This Special Issue of Remote Sensing focuses on innovative, novel, and leading-edge advances in Geographic Object-Based Image Analysis (GEOBIA) research, theories, methods, and applications. The Special Issue also invites discussion regarding future research trends.
GEOBIA has been described as a sub-discipline of GIScience devoted to developing automated methods of partitioning high-resolution, remote-sensing imagery into meaningful image-objects, and assessing their characteristics through scale. At its most fundamental level, GEOBIA involves image-segmentation, attribution, classification, and the ability to query and link image-objects in space and time within an Earth-centric framework. As a result, GEOBIA is increasingly recognized as an evolving integrative Geospatial paradigm that builds on concepts incorporated from a broad range of disciplines including: Remote Sensing, Geographic Information Systems (GIS), Image Processing, Knowledge Discovery in Databases (KDD), Geospatial Statistics, Cartography, Photogrammetry, Landscape Ecology, Geography, and many others.
Over the last decade, advances in GEOBIA research have led to four highly successful bi-yearly international GEOBIA conferences (Austria 2006; Canada 2008; Belgium 2010 and Brazil 2012) with a fifth scheduled for 2014 (in Greece), along with countless workshops; four related special journal issues (PERS—2010; RS—2011, JAG—2012; GSRS-IEEE—2013), thousands of peer-reviewed journal papers, and a growing number of books and university theses. There is also a Wiki with many thousands of views, numerous YouTube videos, and more than 20 FOSS (free and open-source software) and commercial software packages from leading remote sensing researchers, teams, and vendors, as well as a growing international community of sophisticated and demanding practitioners and innovators.
In order to highlight recent advances in GEOBIA from this growing community and their evolving body of knowledge, submissions are encouraged to cover a broad range of topics, which may include, but are not limited to, the following activities:
- Algorithm development, automation, implementation, and validation
- Challenges related to multi-sensor/data integration and calibration
- Change detection and monitoring
- Classification/error assessment, uncertainty, statistical analysis
- Data processing/mining methods
- Integrative technologies/platforms
- Large area applications, i.e., regions, countries, continents
- Multi-disciplinary case studies
- Ontologies and classification
- Paradigm development, epistemologies
- Rule-set sharing, adaptation, integration, error-tracking, and responsibility
- Scale issues, i.e., resampling, hierarchical analysis, MAUP
- Training/testing sample collection and social engagement with VGIs and the GeoWeb
- Visualization issues and applications
Prof. Dr. Thomas Blaschke
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. Remote Sensing is an international peer-reviewed Open Access monthly journal published by MDPI.
- integration of GIS and remote sensing
- geographic information science
- sustainable landscapes
- energy landscapes
- smart spaces
- geospatial analysis
- landscape ecology