A Genetic Approach to Parameterization of Feature Extraction Algorithms in Remote Sensing Images
Edmore Chikohora, Obeten Obi Ekabua · 2014
Genetic Algorithms (GA) are an adaptive heuristic search algorithm found on the evolutionary ideas of natural selection. In this paper, we propose an adaptive heuristic based on the Gabor Filter (GF) to generate useful solutions to optimization of parameter selection strategies for Feature Extraction Algorithms (FEA) in Remote Sensing Images. Experiments were done using computer simulations and a critical analysis on performance of the heuristic algorithm is done in a comparative manner with the rest of the algorithms.