A method of linear feature extraction from high resolution aerial images

Authors:
Jingxian Liu;Haoyu Peng
Affiliations:
Navigation School, Wuhan University of Technology, Wuhan, Hubei, People's Republic of China;Navigation School, Wuhan University of Technology, Wuhan, Hubei, People's Republic of China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Year:
2009

Citing 1
Cited 0

Automatic Finding of Main Roads in Aerial Images by Using Geometric-Stochastic Models and Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a novel method of gray-level projection called circular projection that is invariant to translations, scale changes and rotations. In particular, the proposed method can reduce the problem of 2-D patterns into that of 1-D ones. The method is applied to feature extraction for road and river from high resolution aerial images. Wavelet transform is then used to analyze the obtained feature curves. It's observed by experiments that the method combined with wavelet processing can provide reliable features for segmentation and recognition of roads and rivers.