@TechReport{TR021,
  author =	 "Axel Pinz and Marek B. Zaremba and Horst Bischof and
                  Francois A. Gougeon and Michael Locas",
  institution =	 "PRIP, TU WIEN",
  number =	 "PRIP-TR-021",
  title =	 "Neuromorphic {M}ethods for {R}ecognition of
                  {C}ompact {I}mage {O}bjects",
  year =	 "1993",
  url =		 "https://www.prip.tuwien.ac.at/pripfiles/trs/tr21.pdf",
  abstract =	 "The issue of the recognition of tree species from
                  high resolution aerial images is addressed in this
                  paper. An approach based on the use of neural
                  networks is presented and discussed in more
                  detail. The networks perform classification and
                  recognition operations on compact image objects,
                  obtained by applying different tree isolation
                  procedures. The recognition capabilities of two
                  classes of networks, multilayer feedforward networks
                  and holographic networks, are compared and some
                  results of the research carried out in Austria and
                  Canada, using aerial photographs and multispectral
                  scanner images, are given.",
}