A Comparison of Supervised Maximum Likelihood and Ellipsoidal Classification for Crop Cover Estimation From Landsat TM Data

Authors

V. PEŞTEMALCI
İ. YEĞİNGİL
N. EMRAHOĞLU

DOI

-

Abstract

Two supervised classification methods, the maximum likelihood and ellipsoid classification methods [1] were used to classify the crop cover by using Landsat TM data. The accuracy and performance of both classification methods were compared. The results show clear improvements of the ellipsoid method in overall accuracy and computational speed.

First Page

490

Last Page

496

Recommended Citation

PEŞTEMALCI, V.; YEĞİNGİL, İ.; and EMRAHOĞLU, N. (1996) "A Comparison of Supervised Maximum Likelihood and Ellipsoidal Classification for Crop Cover Estimation From Landsat TM Data," Turkish Journal of Physics: Vol. 20: No. 5, Article 7. Available at: https://journals.tubitak.gov.tr/physics/vol20/iss5/7