Topical Collection "Geographic Object-Based Image Analysis (GEOBIA)"
A topical collection in Remote Sensing (ISSN 2072-4292).
Prof. Dr. Norman Kerle
Department of Earth Systems Analysis (ESA), Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 6, Hengelosestraat 99, 7500 AA Enschede, Netherlands
Website 1 | Website 2 | E-Mail
Interests: disaster risk management; damage assessment; vulnerability; UAV; resilience; recovery; OBIA; object-oriented analysis; VGI
During the last decade, Geographic Object-Based Image Analysis (GEOBIA)has grown from a niche discipline to a recognized and vibrant branch of geoinformation science, and methods developed by the growing community have helped to tackle problems in virtually all domains where geographic data are used. The growing importance of image processing, be it of traditional airborne or satellite data, or complex hyperspectral data stacks, videos, or image data used by other communities, has resulted in a multitude of methodological approaches. Object-based approaches have turned out to be an excellent way to incorporate process and feature knowledge, in addition to providing an effective way of dealing with multi-scale data. Remote Sensing has already published three Special Issues on the theme of GEOBIA, the most recent one publishing the most interesting outcomes of the GEOBIA 2016 conference that took place in 2016 at the University of Twente in Enschede, the Netherlands. The 2016 conference focused on specific two issues: (i) solutions, and (ii) synergies. The theme highlighted both the need for more operational OBIA methodologies that can help solve current societal problems, and the potential gains of merging traditional OBIA with developments in related domains, such as photogrammetry, computer vision and machine learning.
The Special Issue for the GEOBIA 2016 conference already comprises 12 excellent papers. Given the continued relevance of the topic, we invite further submissions for an ongoing topical GEOBIA collection.
Authors are required to check and follow the specific Instructions to Authors, https://www.mdpi.com/journal/remotesensing/instructions.
Prof. Dr. Norman Kerle
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 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.
- Operationalization of OBIA solutions
- Transferability of solutions to other datasets, datatypes and data of different quality
- Automatic determination of segmentation and classification parameters and thresholds
- Objective success scoring of OBIA solutions (e.g., via the Benchmarking exercise)
- Open source solutions
- Big data
- Machine learning methods in OBIA
- Segmentation-based point-cloud analysis
- Processing of UAV data (very high resolution, oblique)
- Developments in GIS-based OBIA
- Advances in Object-Based Image Analysis—Linking with Computer Vision and Machine Learning in Remote Sensing (12 articles)
- Advances in Geographic Object-Based Image Analysis (GEOBIA) in Remote Sensing (18 articles)
- Object-Based Image Analysis in Remote Sensing (7 articles)