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Classification has been among the central issues of hyperspectral application. However, due to the well-known Hughes phenomenon, most of the methods suffer from the curse of dimensionality and deeply rely on traditional dimensional reduction like Principle Component Analysis (PCA). In this paper, combining spatial and spectral information jointly, we propose a novel deep classification framework....
To combat the well-known Hughes phenomenon occurred in hyperspectral classification, most of the previous works adopt dimensionality reduction or manifold learning technique before supervised learning. While in this paper, we propose a different scheme: First, we design a pixel-wise classifier based on Convolutional Neural Network that could directly mapping observed spectrum to class distribution...
In the Argon Oxygen (Argon Oxygen Decarburization, AOD method) refining medium and low carbon ferrochrome process, the slag basicity is one of the important factors affecting the product quality and energy consumption. Appropriate slag basicity can quickly remove impurities such as sulfur and phosphorus in the liquid steel, and also can reduce the furnace lining erosion degree, reducing the consumption...
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