Metaheuristic Honey Badger Optimization for Remote Sensing Image Clustering

Abstract

In this paper, we demonstrate satellite image classification by the algorithm optimized with HBA (Honey Badger Algorithm). This approach leverages the Honey Badger Algorithm's unique foraging behavior to effectively group pixels with similar spectral characteristics, thus enhancing the interpretability of complex remote sensing data. This novel application aims to address the limitations of traditional clustering methods in handling the high dimensionality and intricate spatial patterns inherent in remote sensing imagery. The satellite image is tested using the method. The experimental results demonstrated that the convergence speed and the performance of the algorithm are satisfactory.