Title :
Investigation of virtual dimensionality and Broken Stick Rule for hyperspectral images
Author_Institution :
Grad. Stat. Dept., Rochester Inst. of Technol., Rochester, NY, USA
Abstract :
In an effort to assess effective linear dimensionality of hyperspectral images, a notion of virtual dimensionality (VD) has been developed, and it is being used in many papers. In this paper, we argue that VD is not a suitable method for that purpose. We then introduce an alternative method to VD that we call the Modified Broken-Stick Rule. We show a numerical example of implementing the new method on an AVIRIS image (used in previous studies) for which VD cannot be defined.
Keywords :
geophysical image processing; image processing; virtual reality; VD; broken stick rule; hyperspectral images; linear dimensionality; virtual dimensionality investigation; Algorithm design and analysis; Covariance matrix; Eigenvalues and eigenfunctions; Hyperspectral imaging; Materials; Pixel; covariance matrix; effective dimensionality; eigenvalues; hyperspectral imagery; virtual dimensionality;
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on
Conference_Location :
Reykjavik
Print_ISBN :
978-1-4244-8906-0
Electronic_ISBN :
978-1-4244-8907-7
DOI :
10.1109/WHISPERS.2010.5594953
