A Method for Terrain Cover Classification Using DCT Features

Lee, Seung-Youn; Kwak, Dong-Min; Sung, Gi-Yeul

Journal of the Korea Institute of Military Science and Technology 2010;13(4):683-688.

Seung-Youn Lee, Dong-Min Kwak, Gi-Yeul Sung

DCT 특징을 이용한 지표면 분류 기법

이승연, 곽동민, 성기열

국방과학연구소

Abstract

The ability to navigate autonomously in off-road terrain is the most critical technology needed for Unmanned Ground Vehicles(UGV). In this paper, we present a method for vision-based terrain cover classification using DCT features. To classify the terrain, we acquire image from a CCD sensor, then the image is divided into fixed size of blocks. And each block transformed into DCT image then extracts features which reflect frequency band characteristics. Neural network classifier is used to classify the features. The proposed method is validated and verified through many experiments and we compare it with wavelet feature based method. The results show that the proposed method is more efficiently classify the terrain-cover than wavelet feature based one.

Key Words: Autonomous Navigation, Discrete Cosine Transform, Wavelet Transform, Terrain Cover Classification