Maximum simplex volume: an efficient unsupervised band selection method for hyperspectral image

IET Computer Vision, pp. 233-239, 2019.

Cited by: 0|Views19
EI WOS

Abstract:

Hyperspectral imaging makes it possible to obtain object information with fine spectral resolution as well as spatial resolution, which is beneficial to a wide array of applications. However, there is a high correlation among the bands in a hyperspectral image (HSI). Band selection (BS), selecting only some representative bands to describ...More

Code:

Data:

Get fulltext within 24h
Bibtex
Your rating :
0

 

Tags
Comments