Title :
SAR image processing by a memetic algorithm
Author :
Aydemir, M. Emre ; Gunel, Tayfun ; Kargin, S. ; Erer, Isin ; Kurnaz, Sefer
Author_Institution :
Turkish Air Force Acad., Istanbul, Turkey
Abstract :
In this study, a recently invented evolutionary computing algorithm known as memetic algorithm is utilized for data processing of synthetic aperture radar (SAR) imagery. Since it´s invention by Dr. Holland in 1990´s, Genetic Algorithm (GA) has already gained popularity in a wide range of engineering applications. The genetic approach is used for processing of SAR imagery to find a region of a pre-defined criterion. In this study, the Memetic algorithm is used for the search method. It was seen that, the algorithm is superior to deterministic methods in terms of processing times and finding the global minimum points. The proposed method is suitable to SAR image processing where huge amounts of data have to be processed in very short time intervals.
Keywords :
evolutionary computation; radar imaging; search problems; synthetic aperture radar; SAR image processing; data processing; evolutionary computing algorithm; memetic algorithm; synthetic aperture radar; Data engineering; Genetic algorithms; Image processing; Iterative algorithms; Iterative methods; Military computing; Optimization methods; Radar imaging; Radar polarimetry; Synthetic aperture radar;
Conference_Titel :
Recent Advances in Space Technologies, 2005. RAST 2005. Proceedings of 2nd International Conference on
Print_ISBN :
0-7803-8977-8
DOI :
10.1109/RAST.2005.1512654