Name
Title | ||
|---|---|---|
Application of a Fast Linear Feature Detector to Road Extraction From Remotely Sensed Imagery |
Abstract | ||
|---|---|---|
This paper presents a fast and effective algorithm for detecting ridge- or ribbon-like linear features from remote sensing imagery. To judge if a pixel is at the center of a linear feature, the first step is to find several biggest pixels by their grey values within orthogonal directional windows, and store them into an evaluation window. A simple evaluation method is then applied to make the yes or no decision on whether the pixel is a linear feature point. Aerial images were used to test the algorithm's ability to extract roads. This algorithm was compared with the Multiple Directional Non Maximum Suppression (MDNMS) algorithm. The experimental results indicate that with the proposed algorithm the processing of road details could improve and the processing time decrease. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/JSTARS.2010.2094181 | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of |
Keywords | Field | DocType |
image line pattern analysis,remote sensing,aerial images,orthogonal directional windows,roads,image recognition,multiple directional non maximum suppression,feature extraction,geophysical image processing,linear feature point,remotely sensed imagery,road extraction,linear feature detector,pixel,algorithm design,redundancy,detectors,algorithm design and analysis,pattern analysis | Feature detection,Remote sensing,Redundancy (engineering),Artificial intelligence,Non maximum suppression,Detector,Computer vision,Algorithm design,Pattern recognition,Ridge,Feature extraction,Pixel,Mathematics | Journal |
Volume | Issue | ISSN |
4 | 3 | 1939-1404 |
Citations | PageRank | References |
11 | 0.63 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuanzheng Shao | 1 | 45 | 5.33 |
| Bingxuan Guo | 2 | 22 | 7.04 |
| Xiangyun Hu | 3 | 79 | 8.87 |
| Liping Di | 4 | 11 | 0.63 |