Name
Title | ||
|---|---|---|
Real-Time Runway Detection for Infrared Aerial Image Using Synthetic Vision and an ROI Based Level Set Method. |
Abstract | ||
|---|---|---|
We present a new method for real-time runway detection embedded in synthetic vision and an ROI (Region of Interest) based level set method. A virtual runway from synthetic vision provides a rough region of an infrared runway. A three-thresholding segmentation is proposed following Otsu's binarization method to extract a runway subset from this region, which is used to construct an initial level set function. The virtual runway also gives a reference area of the actual runway in an infrared image, which helps us design a stopping criterion for the level set method. In order to meet the needs of real-time processing, the ROI based level set evolution framework is implemented in this paper. Experimental results show that the proposed algorithm is efficient and accurate. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/rs10101544 | REMOTE SENSING |
Keywords | Field | DocType |
synthetic vision,level set method,runway detection,three thresholding | Computer vision,Synthetic vision system,Level set method,Remote sensing,Aerial image,Artificial intelligence,Runway,Infrared,Geology | Journal |
Volume | Issue | ISSN |
10 | 10 | 2072-4292 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changjiang Liu | 1 | 4 | 3.58 |
| Irene Cheng | 2 | 283 | 35.18 |
| Anup Basu | 3 | 749 | 97.26 |