Hyper-Spectral Characteristics in Support of Object Classification and Verification

• Published in: IEEE access Vol. 7; pp. 119420 - 119429
• Main Authors: Zhang, Liren, Lu, Hao, Zhang, Hang, Zhao, Yuefeng, Xu, Huaqiang, Wang, Jingjing
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithms; Classification; classification accuracy; Divergence; Fields (mathematics); hyper-spectral characteristics; Hyper-spectral image; hyper-spectral image classification; Image classification; Methods; object verification; Remote sensors; Satellite imagery; Sensors; Spectra; Verification

It is known that a typical hyper-spectral image consists of a sequence of wavelength bands and each wavelength band illustrates a two-dimensional image. This paper presents a HSI classification method including two approaches. The first approach is a probabilistic algorithm for object classification...