Xp. Jia et Ja. Richards, PROGRESSIVE 2-CLASS DECISION CLASSIFIER FOR OPTIMIZATION OF CLASS DISCRIMINATIONS, Remote sensing of environment, 63(3), 1998, pp. 289-297
A progressive two-class decision classifier (pTCDC) ir presented in th
is article. This multilayer procedure converts a multiclass classifica
tion problem into a several independent two-class separations. It not
only provides the general advantages of hierarchical classification sc
hemes over single-stage classification but it is also free of the need
for hierarchical structure design and offers an optimal class pair di
scrimination environment. At each decision node, only one class pair i
s considered. Data processing aimed at maximising individual class pai
r separations, such as feature selection, classification algorithm sel
ection and data source selection or data transformation, be comes more
reliable and efficient. Experiments carried out using an AVIRIS data
set are presented and the results demonstrate that fewer features are
needed and classification accuracy is improved with the new procedure
compared with single-stage classification. (C) Elsevier Science Inc.,
1998.