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GEOBIA 2016: Advances in Object-Based Image Analysis—Linking with Computer Vision and Machine Learning

1
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands
2
Technical University of Braunschweig, Germany, Institut für Geodäsie und Photogrammetrie, Bienroder Weg 81, D-38106 Braunschweig, Germany
3
IRISA—Université Bretagne Sud, Campus de Tohannic, BP 573, 56017 Vannes CEDEX, France
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(10), 1181; https://doi.org/10.3390/rs11101181 (registering DOI)
Received: 9 May 2019 / Accepted: 15 May 2019 / Published: 17 May 2019
PDF [200 KB, uploaded 17 May 2019]
Note: In lieu of an abstract, this is an excerpt from the first page.

Excerpt

The 6th biennial conference on object-based image analysis—GEOBIA 2016—took place in September 2016 at the University of Twente in Enschede, The Netherlands (see www.geobia2016.com) [...]
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Kerle, N.; Gerke, M.; Lefèvre, S. GEOBIA 2016: Advances in Object-Based Image Analysis—Linking with Computer Vision and Machine Learning. Remote Sens. 2019, 11, 1181.

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