@inproceedings{aa0efb3342d34182bddb42526d66d83b,
title = "Fourier shape descriptors of pixel footprints for road extraction from satellite images",
abstract = "In this paper, an automatic road tracking method is presented for detecting roads from satellite images. This method is based on shape classification of a local homogeneous region around a pixel. The local homogeneous region is enclosed by a polygon, called the pixel footprint. We introduce a spoke wheel operator to obtain the pixel footprint and propose a Fourier-based approach to classify footprints for automatic seeding and growing of the road tracker. We experimentally demonstrate that our proposed road tracker can extract the centerlines of roads with sharp turns and intersections effectively, and has relatively small amount of leakage.",
keywords = "Fourier shape descriptor, Pixel footprint, Road extraction, Road tracking, Satellite image",
author = "Hu Jiuxiang and Anshuman Razdan and John Femiani and Peter Wonka and Cul Ming",
year = "2006",
doi = "10.1109/ICIP.2007.4378888",
language = "English (US)",
isbn = "1424414377",
series = "Proceedings - International Conference on Image Processing, ICIP",
pages = "I49--I52",
booktitle = "2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings",
note = "14th IEEE International Conference on Image Processing, ICIP 2007 ; Conference date: 16-09-2007 Through 19-09-2007",
}