Name
Abstract | ||
|---|---|---|
This paper exposes new method of remote sensed imagery change detection based on the framework of Dempster-Shafer. The method is established on multi-temporal conflict analysis and interpretation, where it was used as a new index of change. In consequence, a pre-change card was produced from the multi-temporal conflict card between the two bi-temporal images and which was deduced from the empty-set mass. It is the proof that the Dempster-Shafer Theory can be applied in a new way for change detection where the conflict imperfection allows mining reliable and not trivial information about change. The effectiveness of the conflict for multi-temporal change mapping was demonstrated using bi-temporal Landsat imagery. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ATSIP.2018.8364335 | 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) |
Keywords | Field | DocType |
Change detection,Dempster-Shafer Theory,conflict,empty-set mass,change card,bi-temporal images,remote sensing | Change detection,Pattern recognition,Computer science,Artificial intelligence,Dempster–Shafer theory,Conflict analysis | Conference |
ISBN | Citations | PageRank |
978-1-5386-5240-4 | 0 | 0.34 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fatma Haouas | 1 | 0 | 1.01 |
| Zouhour Ben Dhiaf | 2 | 1 | 1.39 |
| Atef Hammouda | 3 | 2 | 2.03 |
| Basel Solaiman | 4 | 127 | 35.05 |