Removing redundant features and improving classifier performance necessitates the use of meta-heuristic and deep learning (DL) algorithms in feature selection and classification problems. With the maturity of DL tools. many data-driven polarimetric synthetic aperture radar (POLSAR) representation models have been suggested. most of which are based on deep convolutional neural networks... https://stilleners.shop/product-category/engine-oil-cooler/
A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification
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