Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2008.06a
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- Pages.853-854
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- 2008
Terrain Cover Classification Using Wavelet Features and Neural Networks
웨이브릿 특징과 신경망을 이용한 지형분류
- Sung, Gi-Yeul (Agency for Defense Development) ;
- Kwak, Dong-Min (Agency for Defense Development) ;
- Kim, Do-Jong (Agency for Defense Development) ;
- Lyou, Joon (Dept. of Electronics Engineering, Chungnam National University)
- Published : 2008.06.18
Abstract
The terrain perception technology using passive sensors plays a key role to enhance autonomous mobility for UGV. We present an effective method to classify terrain covers based on the color information. Considering a real-time implementation, neural network is applied for the terrain classifier and wavelet features extracted from the images are used. Test results show that the proposed algorithm has a promising classification performance.
Keywords