@inproceedings{a99f03a92a0f4441854002cd13e7d978,
title = "Reflectance and Surface Normals from a Single Hyperspectral Image",
abstract = "Hyperspectral imaging, which collects rich spectral and spatial information, is a powerful Earth vision method and has many applications. As the data structure is highly complex, the key problem of hyperspectral image processing is in extracting the useful information we want. Traditional feature extraction methods are designed to this end; however, they undergo severe limitations. Most of them are designed mathematically instead of physically and ignore the fact that the changes in physical imaging conditions have a significant influence on the spectra intensity observed. In this chapter, we try to analyze the information contained in hyperspectral images (HSIs) from the perspective of the hyperspectral imaging principle, and propose a novel method of extracting reflectance and surface normals from HSIs.",
keywords = "Hyperspectral, Reflectance, Surface Normals",
author = "Wenhao Xiang and Xudong Jin and Yanfeng Gu",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 4th International Conference on Sensing and Imaging, ICSI 2018 ; Conference date: 15-10-2018 Through 18-10-2018",
year = "2019",
doi = "10.1007/978-3-030-30825-4\_10",
language = "英语",
isbn = "9783030308247",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer",
pages = "105--113",
editor = "Quinto, \{Eric Todd\} and Nathan Ida and Ming Jiang and Louis, \{Alfred K.\}",
booktitle = "The Proceedings of the International Conference on Sensing and Imaging, 2018",
address = "德国",
}