Iterative Pixel Purity Index

Author

Chein-I Chang ; Chao-Cheng Wu

Author_Institution

Dept. of Comput. Sci. & Electr. Eng., Univ. of Maryland, Baltimore, MD, USA

fYear

2012

fDate

4-7 June 2012

Firstpage

1

Lastpage

4

Abstract

Pixel Purity Index (PPI) has been widely used in endmember extraction. While it is available in ENVI software there are several interesting issues arising in its implementation. This paper re-invents the wheel by re-visiting the design rationale of the PPI and re-designing algorithms to implement PPI in an iterative manner, referred to as iterative PPI (IPPI) which iterates the PPI in two processes, one for data sample vectors and the other for skewers, each of which can be implemented as a real time processing algorithm in a causal manner. The proposed IPPI can be implemented automatically and resolves the main issue of requiring human intervention to determine parameters.

Keywords

geophysical image processing; hyperspectral imaging; vectors; ENVI software; IPPI; data sample vectors; endmember extraction; hyperspectral imaging; iterative PPI; iterative pixel purity index; real time processing algorithm; skewers; Generators; Image processing; Indexes; MATLAB; Paints; Real-time systems; Endmember extraction; Iterative pixel purity index (IPPI); Random IPPI (R-IPPI);

fLanguage

English

Publisher

ieee

Conference_Titel

Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2012 4th Workshop on

Conference_Location

Shanghai

Print_ISBN

978-1-4799-3405-8

Type

conf

DOI

10.1109/WHISPERS.2012.6874313

Filename

6874313