@inproceedings{99ba8dbd6bc84bab92096a46fcc676ff,
title = "Adaptive algorithm for parameterization of feature extraction techniques in remote sensing image processing",
abstract = "This study presents a novel adaptive heuristic algorithm named 'the GenApp' that is based on the Gabor Filter (GF) to generate useful solutions to optimization of parameter selection strategies for Feature Extraction Techniques (FET) in Remote Sensing Image (RSI) processing. The GenApp was evaluated against the existing algorithms namely, the Modified Gabor Filter (MGF) and the GF for efficiency and fitness of value. The triangulation approach was applied to compare the two sets of results and the results obtained from the simulations evidenced an improved fitness value of the GenApp. Although the GenApp posted higher complexity values of 0.63 and 0.03 points above the existing algorithms, the lapse is a direct result of the initialization processes introduced to the GenApp that screens less fit prospective solutions from the initial population data, which can be traded-off with the GenApp's overall performance as compared to the existing algorithms.",
keywords = "Dimensionality reduction, Feature extraction, Genetic algorithms, Region of Interest, Remote sensing image processing",
author = "Edmore Chikohora and Attlee Gamundani and Teressa Chikohora",
note = "Publisher Copyright: {\textcopyright} 2018 IST-Africa Institute.; 2018 IST-Africa Week Conference, IST-Africa 2018 ; Conference date: 09-05-2018 Through 11-05-2018",
year = "2018",
month = jul,
day = "20",
language = "English",
series = "2018 IST-Africa Week Conference, IST-Africa 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IST-Africa Week Conference, IST-Africa 2018",
}