dc.contributor.author | UŞAKLI, Ali Bülent | |
dc.contributor.author | YAVARIABDI, Amir | |
dc.contributor.author | KUSETOĞULLARI, Hüseyin | |
dc.date.accessioned | 2019-07-09T14:07:52Z | |
dc.date.available | 2019-07-09T14:07:52Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12498/936 | |
dc.description.abstract | This paper proposes a new unsupervised satellite change de-
tection method, which is invariant to shadow and shading e ects. To
achieve this, rstly, the RGB satellite images are transformed into spher-
ical colour space to remove illumination artifacts. Then, a new unsuper-
vised change detection is used. The resultant optimal binary change mask
is obtained by minimisation a mean square error based cost function us-
ing Binary Particle Swarm Optimisation (BPSO). The proposed method
is compared with three other satellite change detection methods and the
results demonstrate that our method provides a signi cant improvement
of obtaining the changed and unchanged regions on the diference image.
The total errors show that our method at least 39.62% better than the
best compared method and are utmost 176.18% better than the worst
one. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Remote Sensing | en_US |
dc.subject | Change Detection | en_US |
dc.subject | Spherical Coordinate System | en_US |
dc.subject | Optimisation | en_US |
dc.subject | Binary Particle Swarm Optimisation | en_US |
dc.title | Unsupervised Satellite Change Detection Using Particle Swarm Optimisation in Spherical Coordinates | en_US |
dc.type | Konferans Bildirisi | en_US |