This article presents the optimization and hybrid parallelization of a spatial–spectral feature extraction (FE) method from hyperspectral images (HSIs) using local covariance matrix (CM) representation. exploiting hybrid parallelism through multicore and manycore processors. The aim is to evaluate the performance of parallel versions of this innovative algorithm that characteri... https://mypopes.shop/product-category/marvel/
Spatial–Spectral Feature Extraction With Local Covariance Matrix From Hyperspectral Images Through Hybrid Parallelization
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