25 July 2002 Adaptive classification for image segmentation and target recognition
Author Affiliations +
This paper on adaptive image segmentation and classification describes research activities on statistical pattern recognition in combination with methods of object recognition by geometric matching of model and image structures. In addition, aspects of sensor fusion for airborne application systems like terminal missile guidance were considered using image sequences of multispectral data from real sensor systems and from computer simulations. The main aspect of the adaptive classification is the support of model-based structural image analysis by detection of image segments representing specific objects, e.g. forests, rivers and urban areas. The classifier, based on textural features, is automatically adapted to the changes of textural signatures during target approach by interpretation of the segmentation results of each actual frame of the image sequence.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bernhard Bargel, Bernhard Bargel, Karl-Heinz Bers, Karl-Heinz Bers, Klaus Jaeger, Klaus Jaeger, Gabriele Schwan, Gabriele Schwan, } "Adaptive classification for image segmentation and target recognition", Proc. SPIE 4726, Automatic Target Recognition XII, (25 July 2002); doi: 10.1117/12.477031; https://doi.org/10.1117/12.477031

Back to Top