Fig. 4
From: Hyperspectral data set of stone cultural relics in high-precision machine vision scene
Dataset Classification and Deterioration Mode Classification Diagram. The above figure represents the classification details of the data layer structure, where the x-axis represents the acquisition time, and the y-axis represents the number of layers. The following diagram shows the data deterioration classification summary. Given the complexity of the collection environment, it is reasonable to categorize the data based on the presence or absence of statues. Hyperspectral data is inherently a three-dimensional cube, which naturally includes some redundancy. Therefore, it is logical to adopt a layered classification approach to manage and analyze the data efficiently. The term ‘statue’ refers to a general category containing image information such as Buddha heads or statues. Specifically, if the layer data contains a Buddha image, it will be classified as a statue category; otherwise, it will be classified into a different category.
