… novel satellite image segmentation technique based on dynamic Harris hawks optimization
with a mutation mechanism (DHHO/M) is proposed. Compared with the original Harris hawks …

… HHO was stimulated by the behaviour of Harris Hawks (HHs), which are intellectual birds
[19… the hawks in the HHO technique, and the better solution in each step is prey. The hawks …

… , and other sensor errors present in the raw geospatial satellite images are corrected … The
most used techniques by researchers for the rectifying of geospatial satellite images are image …

… [27] demonstrated the validity of modified flower pollination algorithm (MFPA) by an array
of experiments on real-life images and remote sensing images segmentation. …

… of the remote sensing image model of geological … sensing images. Through the above
research work, this research successfully provides a scientific and practical remote sensing image …

… de-noising has turned into a basic and principle pre-processing step in various applications
of image processing, such as medical, hyperspectral remote sensing and satellite image …

… Shahid, “Hyperspectral remote sensing image de-noising with three dimensional wavelet …
Demirel, “Satellite image Denoising with harris hawks meta heuristic optimization algorithm …

… system (sensing cost) in MCS is regarded as an optimization problem. The Harris hawks …
In this study, the Harris hawks optimization algorithm improved mobile crowdsensing in Fog-…

… Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates
the hunting behavior of hawks… well-established robust optimizer Harris hawk optimizer (HHO) …

… The HHO’s structure and the exploratory and exploitative trends of the conventional version
were inspired by the behavior of Harris hawks during exploring prey, surprise pounce and …