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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/52311
- GANN snake for object extractions from high resolution satellite imagery
- Theng, Lau Bee; Ling, Choo Ai
- Active contour model, well known as snakes are used to extract objects like land parcels and buildings from high resolution satellite imageries like IKONOS and Quickbird. Object extraction from satellite imagery has more a long history. However, increasing image variation, required level of details and higher resolution imagery acquired, object extractions have to be improved continuously. Evolutionary computing approaches can enhance satellite imagery's object extraction. This paper discusses the prototyping of a Genetic Algorithm (GA) and Neural Network (NN) snake. The coefficients for snake energy obtained through GANN are compared with ordinary snake for performance.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology. Sarawak Campus. School of Computing and Design
- Proceedings of the 2008 International Conference on Advanced Computer Theory and Engineering (ICACTE 2008), Phuket, Thailand, 20-22 December 2008, pp. 1005-1009
- Publication year
- GANN; Generic Algorithm and Neural Network; Object extractions; Satellite imagery; Snakes
- Publisher URL
- Copyright © 2008 IEEE.
- Peer reviewed