Mitigation Of Window Effects In Inverse Synthetic Aperture Radar (ISAR) Imagery Using Multi-resolution Technique
| dc.contributor | Gunnala, Suman Kumar | en_US |
| dc.date.accessioned | 2007-08-23T01:56:53Z | |
| dc.date.accessioned | 2011-08-24T21:40:44Z | |
| dc.date.available | 2007-08-23T01:56:53Z | |
| dc.date.available | 2011-08-24T21:40:44Z | |
| dc.date.issued | 2007-08-23T01:56:53Z | |
| dc.date.submitted | August 2006 | en_US |
| dc.description.abstract | A method using Multi-Resolution technique for window effect mitigation in ISAR imagery, which occurs due to finite extent data, is presented in this work. Proposed method is supported with quantitative measure using both Structural Similarity (SSIM) and Mean Square Error (MSE). In addition, above index measures were used to determine the best choice of wavelet basis for window effect mitigation. Complete angular window and partial angular window are used as two cases to demonstrate the validation of above contributions. Scattering measurements of different test sets were done to validate the approach. Results which include reconstructed images and quantitative index measures are provided to support the approach. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10106/513 | |
| dc.language.iso | EN | en_US |
| dc.publisher | Electrical Engineering | en_US |
| dc.title | Mitigation Of Window Effects In Inverse Synthetic Aperture Radar (ISAR) Imagery Using Multi-resolution Technique | en_US |
| dc.type | M.S.E.E. | en_US |