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Effectiveness Comparison of Three Types of Signatures on the Example of the Initial Selection of Aerial Images

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Artificial Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6113))

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Abstract

The paper describes, implements and compares three types of pulsed neural networks (ICM and two PCNNs). These networks generated more then 900 image signatures from aerial photos. The signatures have been divided into two classes: suitable and unsuitable for the next stages of photogrammetric analysis. Backpropagation neural networks with various sizes of the hidden layer have been used for the classification of signatures. The effectiveness of the three types of image signatures has been determined based on the recognition results.

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Author information

Authors and Affiliations

  1. Institute of Automatics, AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland

    Zbigniew Mikrut

Authors
  1. Zbigniew Mikrut
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź,, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics,, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA,  

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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© 2010 Springer-Verlag Berlin Heidelberg

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Mikrut, Z. (2010). Effectiveness Comparison of Three Types of Signatures on the Example of the Initial Selection of Aerial Images. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_66

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  • DOI: https://doi.org/10.1007/978-3-642-13208-7_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13207-0

  • Online ISBN: 978-3-642-13208-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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