Review of Three-Dimensional Reconstruction Based on Hyperspectral Imaging

In the past few decades, with the continuous progress in devices and research, both hyperspectral imaging technology and three-dimensional reconstruction techniques have made significant advancements. In recent years, three-dimensional reconstruction based on hyperspectral imaging has shown remarkable results. Unlike traditional three-dimensional reconstruction techniques based on RGB images that only capture the geometric information of the target object, the spectral diversity provided by hyperspectral images allows for the reconstruction of three-dimensional models with higher accuracy and better visual effects. Consequently, an increasing number of researchers have started to explore the field of three-dimensional reconstruction based on hyperspectral imaging. This article provides a comprehensive review of the specific steps involved in three-dimensional reconstruction based on hyperspectral imaging, including traditional algorithms used in the reconstruction process. Furthermore, it introduces the latest research on implementing three-dimensional reconstruction of hyperspectral images with the assistance of deep learning techniques.