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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gorinevsky, D. Seung-Jean Kim Beard, S. Boyd, S. Gordon, G. |
| Copyright Year | 1991 |
| Abstract | Estimation of mechanical structure damage can greatly benefit from the knowledge that the damage accumulates irreversibly over time. This paper formulates a problem of estimation of a pixel-wise monotonic increasing (or decreasing) time series of images from noisy blurred image data. Our formulation includes temporal monotonicity constraints and a spatial regularization penalty. We cast the estimation problem as a large-scale quadratic programming (QP) optimization and describe an efficient interior-point method for solving this problem. The method exploits the special structure of the QP and scales well to problems with more than a million of decision variables and constraints. The proposed estimation approach performs well for simulated data. We demonstrate an application of the approach to diagnostic images obtained in structural health monitoring experiments and show that it provides a good estimate of the damage accumulation trend while suppressing spatial and temporal noises. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 1030 |
| Ending Page | 1043 |
| Page Count | 14 |
| File Size | 1510559 |
| File Format | |
| ISSN | 1053587X |
| Volume Number | 57 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image sequences Monitoring Quadratic programming Pixel Filtering Aircraft Gray-scale Working environment noise Large-scale systems Optimization methods structural health monitoring Damage interior-point methods isotonic regression monotonic optimal estimation regularization spatio-temporal filtering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering |
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