| Paper: | MA-L2.5 |
| Session: | Image And Video Segmentation I |
| Time: | Monday, September 17, 11:30 - 11:50 |
| Presentation: |
Lecture
|
| Title: |
FOURIER SHAPE DESCRIPTORS OF PIXEL FOOTPRINTS FOR ROAD EXTRACTION FROM SATELLITE IMAGES |
| Authors: |
Jiuxiang Hu; Arizona State University at Polytech | | |
| | Anshuman Razdan; Arizona State University at Polytech | | |
| | John Femiani; Arizona State University at Polytech | | |
| | Peter Wonka; Arizona State University | | |
| | Ming Cui; Arizona State University | | |
| 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. |
