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Unlike traditional "handcrafted" features designed by experts, are representations automatically learned by Deep Neural Networks (DNNs) directly from raw data.

: Networks learn to identify significant patterns, such as edges or textures in images, without manual intervention.

In the context of hyperspectral image analysis, typically refers to a specific pixel location or a feature vector index within a deep learning dataset. This term is often cited in research involving deep feature fusion , where complex data from multiple spectral bands are combined to improve image recognition or classification. Understanding Deep Features