Graduation Semester and Year
2006
Language
English
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Electrical Engineering
First Advisor
Tjuatja Saibun
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.
Disciplines
Electrical and Computer Engineering | Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Gunnala, Suman Kumar, "Mitigation Of Window Effects In Inverse Synthetic Aperture Radar (ISAR) Imagery Using Multi-resolution Technique" (2006). Electrical Engineering Theses. 166.
https://mavmatrix.uta.edu/electricaleng_theses/166
Comments
Degree granted by The University of Texas at Arlington