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Rough Sets and Neural Networks Based Aerial Images Segmentation Method

  • Xiao Fu
  • Jin Liu
  • Haopeng Wang
  • Bin Zhang
  • Rui Gao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7666)

Abstract

The problem of aerial image segmentation using Rough sets and neural networks has been considered. Integrating the advantages of two approaches, this paper presents a hybrid system different from those previous works where rough sets were used only for accelerating or simplifying the process of using neural networks for aerial image segmentation. The hybrid system have been advanced to improve its performance or to explore new structures. These new segmentation algorithms avoids the difficulty of extracting rules from a trained neural network and possesses the robustness which are lacking for rough set based approaches. The proposed schemes are tested comparatively on a bank of test images as well as real world images.

Keywords

Aerial image segmentation Rough sets Neural networks 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Xiao Fu
    • 1
  • Jin Liu
    • 1
  • Haopeng Wang
    • 1
  • Bin Zhang
    • 1
  • Rui Gao
    • 1
  1. 1.Department of Fundamental CoursesAir Force Aviation UniversityChangchunChina

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