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In this manuscript, we unveil a band selection wrapper method utilizing the Jaya optimization algorithm, aiming to enhance computational efficiency and ...
The Binary Jaya algorithm stands out from various other optimization methods due to its limited number of control parameters. This feature streamlines the.
The review extends to the practical deployment of chaos algorithms across specific problems, illustrating their versatility and effectiveness. Conclusively, ...
Sep 14, 2024 · Band selection can reduce information redundancy and improve application efficiency of hyperspectral images (HSIs), such as classification.
Dec 30, 2024 · Dimensionality Reduction (DR) is an indispensable step to enhance classifier accuracy with data redundancy in hyperspectral images (HSI).
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The proposed BS involves two steps: (i) with the help of spectral-clustering and spatial-Frobenius norms, objectives are formulated and Jaya algorithm is ...
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Aug 1, 2023 · In this study, we proposed a Logistic S-shaped Binary Jaya Optimization Algorithm (LS-BJOA), which combines a logistic map with the Jaya optimization algorithm.
Flower pollination optimization based hyperspectral band selection using modified wavelet Gabor deep filter neural network · 6 Citations · 30 References.
Feb 1, 2019 · So, in the proposed architecture, Jaya optimisation is used for BS, as it does not possess any algorithm-specific control parameter. Spatial and ...
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In this paper we study a multi-objective artificial bee colony approach for the band selection problem of hyperspectral images.