RESEARCH AND APPLICATION OF MEDIA STREAMS BASED ON ENTROPY AND FAHP



Band Selection via Explanations From Convolutional Neural Networks

Band Selection is a research hotspot in the field of hyperspectral imaging (HSI) processing.This paper proposes a method that selects bands for HSI classification by the explainability of a convolutional neural network (CNN).We design a CNN architecture and use its 1D gradient-weighted class activation mapping (GradCAM) to obtain a gradient-weighte

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