Object-based image analysis

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Object-Based Image Analysis (OBIA) also Geographic Object-Based Image Analysis (GEOBIA) is a method of geography . Objects on spatial, spectral and temporal levels are recognized from remote sensing data or aerial photographs by means of automatic image recognition .

history

The development of this research field became increasingly important in science as the technical development of geographic information systems , remote sensing data and automatic image recognition continued to advance and also found its way into the civilian sector.

Applications

OBIA has now developed into its own scientific field and is used in ecological, especially macroecological research , as well as in spatial planning and many geographical disciplines. In the meantime, a wealth of algorithms and concepts for various applications have been developed.

In contrast to conventional image analysis techniques, OBIA allows "spatio-temporal" and "inter-scale" relationships between objects. The technology allows the analysis of the network of relationships between discrete objects. In addition, properties such as comparable properties of landscapes and complex systems can be analyzed.

Software and methodology

A number of software applications are now available. ERDAS Imagine , for example, is a program for analyzing remote sensing data that has OBIA functions.

The degree of reflection is often used as a distinguishing feature for delimiting objects at the spectral level .

Publications

Articles with OBIA as a method:

  • Blaschke, T. (2010), Object based image analysis for remote sensing. In: ISPRS Journal of Photogrammetry and Remote Sensing, Volume 65, Issue 1, January 2010, Pages 2–16, doi : 10.1016 / j.isprsjprs.2009.06.004 .
  • S. Lang, A. Kääb, J. Pechstädt et al. (2011): Assessing components of the natural environment of the Upper Danube and Upper Brahmaputra river basins, 21-36. In Advances in Science and Research.
  • Tiede, D., Lang, S., Füreder, P., Hölbling, D., Hoffmann, C., Zeil, P. (2011): Automated damage indication for rapid geospatial reporting. An operational object-based approach to damage density mapping following the 2010 Haiti earthquake. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 77 (9), 933-942.
  • Marschallinger R., P. Hofmann, G. Daxner-Höck, Richard A. Ketcham (2011): Solid modeling of fossil small mammal teeth. In: Computers & Geosciences, Volume 37, Issue 9, September 2011, Pages 1364-1371.