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Object based image analysis in forestry change detection
IEEE 8th International Symposium on Intelligent Systems and Informatics, 2010This paper presents methods for land cover change detection, using object based image analysis. Considering that huge area in Serbia is covered with forest, this study is of great value for tracking changes over time. The research involved collecting data.
Dusan Jovanovic +3 more
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Automated spine and vertebrae detection in CT images using object‐based image analysis
International Journal for Numerical Methods in Biomedical Engineering, 2013SUMMARYAlthough computer assistance has become common in medical practice, some of the most challenging tasks that remain unsolved are in the area of automatic detection and recognition. The human visual perception is in general far superior to computer vision algorithms.
M, Schwier +3 more
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Geographic Object-based Image Change Analysis
2009Remote sensing is an effective tool for mapping earth surface objects and phenomena, and provides the sole means for comprehensive monitoring of land surface changes. Normally captured in an image form by sensors mounted on aircraft or satellites, remotely sensed data are spatially contiguous and temporally periodic measurements of the reflected or ...
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Swarm intelligence for object-based image analysis
2018Object-based image analysis (OBIA) approaches are often superior to the pixel-based classifications at very high resolution (VHR) remotely sensed images. Due to the similar spectral signatures of land-cover classes especially in urban areas, spatial information must be exploited to produce improved classification maps at finer resolutions. Segmentation
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Object-based image analysis through nonlinear scale-space filtering
ISPRS Journal of Photogrammetry and Remote Sensing, 2011In this research, an object-oriented image classification framework was developed which incorporates nonlinear scale-space filtering into the multi-scale segmentation and classification procedures. Morphological levelings, which possess a number of desired spatial and spectral properties, were associated with anisotropically diffused markers towards ...
Angelos Tzotsos +2 more
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Support Vector Machine Classification for Object-Based Image Analysis
2008The Support Vector Machine is a theoretically superior machine learning methodology with great results in pattern recognition. Especially for supervised classification of high-dimensional datasets and has been found competitive with the best machine learning algorithms.
A. Tzotsos, D. Argialas
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Progressing from object-based to object-oriented image analysis
2008This research describes an advanced workflow of an object-based image analysis approach. In comparison to the existing two-staged workflow where typically a segmentation step is followed by a classification step, a new workflow is illustrated where the objects themselves are altered constantly in order to move from object primitives in an early stage ...
M. Baatz, C. Hoffmann, G. Willhauck
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