dc.contributor.author |
Nar, Fatih
|
|
dc.contributor.author |
Özgür, Atilla
|
|
dc.contributor.author |
Saran, Ayşe Nurdan
|
|
dc.date.accessioned |
2017-03-07T08:15:52Z |
|
dc.date.available |
2017-03-07T08:15:52Z |
|
dc.date.issued |
2016-07 |
|
dc.identifier.citation |
Nar, F., Özgür,A., Saran, A.N. (2016). Sparsity-driven change detection in multitemporal sar images. IEEE Geoscience And Remote Sensing Letters, 13(7), 1032-1036. http://dx.doi.org/10.1109/LGRS.2016.2562032 |
tr_TR |
dc.identifier.issn |
1545-598X |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.12416/1393 |
|
dc.description.abstract |
In this letter, a method for detecting changes in multitemporal synthetic aperture radar (SAR) images by minimizing a novel cost function is proposed. This cost function is constructed with log-ratio-based data fidelity terms and an l(1)-norm-based total variation (TV) regularization term. Log-ratio terms model the changes between the two SAR images where the TV regularization term imposes smoothness on these changes in a sparse manner such that fine details are extracted while effects like speckle noise are reduced. The proposed method, sparsity-driven change detection (SDCD), employs accurate approximation techniques for the minimization of the cost function since data fidelity terms are not convex and the employed l(1)-norm TV regularization term is not differentiable. The performance of the SDCD is shown on real-world SAR images obtained from various SAR sensors. |
tr_TR |
dc.language.iso |
eng |
tr_TR |
dc.publisher |
IEE-INST Electrical Electronics Engineers Inc. |
tr_TR |
dc.relation.isversionof |
10.1109/LGRS.2016.2562032 |
tr_TR |
dc.rights |
info:eu-repo/semantics/closedAccess |
|
dc.subject |
Change Detection |
tr_TR |
dc.subject |
Image Analysis |
tr_TR |
dc.subject |
log Ratio |
tr_TR |
dc.subject |
Synthetic Aperture Radar (SAR) |
tr_TR |
dc.subject |
Total Variation (TV) |
tr_TR |
dc.subject |
l(1)-Norm |
tr_TR |
dc.title |
Sparsity-driven change detection in multitemporal sar images |
tr_TR |
dc.type |
article |
tr_TR |
dc.relation.journal |
IEEE Geoscience And Remote Sensing Letters |
tr_TR |
dc.contributor.authorID |
252953 |
tr_TR |
dc.contributor.authorID |
20868 |
tr_TR |
dc.identifier.volume |
13 |
tr_TR |
dc.identifier.issue |
7 |
tr_TR |
dc.identifier.startpage |
1032 |
tr_TR |
dc.identifier.endpage |
1036 |
tr_TR |
dc.contributor.department |
Çankaya Üniversitesi, Mühendislik Fakültesi, Elektronik ve Haberleşme Mühendisliği Bölümü |
tr_TR |