A Fuzzy Homogeneity Test for the Iterative Guided Spectral Class Rejection Algorithm

Author

Phillips, Rhonda D. ; Watson, Layne T. ; Wynne, Randolph H.

Author_Institution

Depts. of Comput. Sci. & Math., Virginia Polytech. Inst. & State Univ., Blacksburg, VA

Volume

2

fYear

2008

fDate

7-11 July 2008

Abstract

This work is an intermediate step toward a fuzzy version of the iterative guided spectral class rejection (IGSCR) classification algorithm. IGSCR combines a clustering algorithm and a decision rule to produce multiple classifications. Although fuzzy versions of these algorithms are available, IGSCR can only evaluate hard clustering output. In an effort to move toward fuzzy classification output, this paper presents a statistically rigorous fuzzy cluster homogeneity test that is analogous to the discrete cluster homogeneity test.

Keywords

decision theory; fuzzy logic; geophysical techniques; geophysics computing; image classification; pattern clustering; IGSCR classification algorithm; clustering algorithm; decision rule; fuzzy homogeneity test; hard clustering output; iterative guided spectral class rejection algorithm; multiple classifications; Classification algorithms; Clustering algorithms; Clustering methods; Computer science; Fuzzy sets; Iterative algorithms; Partitioning algorithms; Pixel; Probability; Testing; classification; clustering; fuzzy clustering; hypothesis testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4779136

Filename

4779136