Title :
Automating the analysis of POLAR UVI images using a hybrid genetic algorithm
Author :
Daida, Jason M. ; Richey, C.J. ; Clauer, C.R. ; Baker, Josef B. ; Cummock, J.A. ; Brittnacher, Mitchell J.
Author_Institution :
Artificial Intelligence Lab., Michigan Univ., Ann Arbor, MI, USA
Abstract :
The paper describes a hybrid genetic algorithm method for automating the analysis of images taken from the UVI instrument onboard the POLAR satellite. The amount of data represented by this instrument is on the order of a terabyte. Quantitative analyses of these images have been mostly by manual inspection. The described algorithm architecture is based on a metaphor of biological symbiosis
Keywords :
artificial satellites; genetic algorithms; image processing; POLAR UVI image analysis; POLAR satellite; UVI instrument; algorithm architecture; biological symbiosis; hybrid genetic algorithm; quantitative analyses; Algorithm design and analysis; Artificial intelligence; Data analysis; Earth; Genetic algorithms; Image analysis; Instruments; Laboratories; Physics; Satellites;
Conference_Titel :
Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4869-9
DOI :
10.1109/ICEC.1998.699501
