00000nam 2200000zi 4500 9.892986 CaOODSP 20221107173323 m o d f cr bn||||||||| 201029e199605##oncad ob f000 0 eng d CaOODSP eng rda CaOODSP eng fre Co24-3/7-96-005E-PDF Hatsivasiliou, Fivos, author. A novel approach to the application of higher order neural networks to image classification / by Fivos Hatsivasiliou and Kenneth L. Sala, Communications Systems Research Antennas and Integrated Electronics. Ottawa : Communication Research Centre, Industry Canada, May 1996. 1 online resource (1 volume (various pagings)) : illustrations, graphs. text txt rdacontent computer c rdamedia online resource cr rdacarrier CRC report ; no. 96-005 Digitized edition from print [produced by Innovation, Science and Economic Development Canada]. "The work described in this document was sponsored by the Department of National Defence under Task 1410-233." Includes bibliographical references (pages REF1-REF-5). "The applicability of higher order neural networks to the classification of low resolution imagery is investigated. A novel boundary detection and encoding methodology is developed in order to significantly reduce the large number of third order interconnection weights which must be found during the training stage of the neural network. The higher order neural classifier can be trained by presenting only one sample image per class and so enables rapid network learning with a minimal requirement for training data. An extensive, MatLab compatible toolbox developed specifically to implement this approach is described and documented along with the algorithms employed in the image boundary detection and encoding process"--Abstract, page iii. Includes abstract in French. Neural networks (Computer science) Image processing. Synthetic aperture radar Image quality. Réseaux neuronaux (Informatique) Traitement d'images. Radar à synthèse d'ouverture Qualité de l'image. Canada. Industry Canada, issuing body. Communications Research Centre (Canada), issuing body. CRC report ; no. 96-005. (CaOODSP)9.882492 PDF 2.27 MB https://publications.gc.ca/collections/collection_2020/isde-ised/Co24/Co24-3-7-96-005-eng.pdf