Name
Title | ||
|---|---|---|
Optical-Flow-Based Approach for the Detection of Shoreline Changes Using Remote Sensing Data |
Abstract | ||
|---|---|---|
This research presents an automatic method to detect and evaluate the shoreline changes from Landsat satellite images. In fact, a method, that we called Lukas-Kanade Adapted for Coastal Changes (LKA2C), has been developed to calculate and detect the changes around the study region. Mainly the proposed method is based on SURF algorithm to detect the study region from the satellite image. Then, Canny edge detector was used on NDWI images to detect the shorelines. Finally, the pyramidal Lukas-Kanade optical flow algorithm was adapted to detect and to calculate the rates of changes. Realized experiments on real satellite images of the island of Djerba in Tunisia proved the effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/AICCSA.2017.173 | 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA) |
Keywords | Field | DocType |
Coastal changes,optical flow,Lukas-Kanade,SURF,LKA2C,DSCF | Canny edge detector,Satellite,Computer science,Remote sensing,Shore,Optical flow,Satellite image | Conference |
ISSN | ISBN | Citations |
2161-5322 | 978-1-5386-3582-7 | 0 |
PageRank | References | Authors |
0.34 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Majed Bouchahma | 1 | 0 | 0.34 |
| Walid Barhoumi | 2 | 80 | 18.49 |
| Wanglin Yan | 3 | 4 | 3.08 |
| Hamood Al Wardi | 4 | 0 | 0.34 |