Effects and Improvement of Mixel Data in the Category Classification of Remote Sensing Image  Using EM Algorithm

Yukio Kobayashi; Minoru Inamura

doi:10.20965/jrm.1994.p0063

single-rb.php

« previous

JRM Vol.6 No.1 pp. 63-68

doi: 10.20965/jrm.1994.p0063

(1994)

Paper:

Views over last 60 days: 329

Effects and Improvement of Mixel Data in the Category Classification of Remote Sensing Image Using EM Algorithm

Yukio Kobayashi and Minoru Inamura^*

Gunma Polytechnic College, Takasaki, Gunma, 370-12 Japan

^* Engineering Department of Gunma University, Kiryu, Gunma, 376 Japan

Received:

December 24, 1993

Accepted:

January 10, 1994

Published:

February 20, 1994

Keywords:

Category classification, EM algorithm, Mixel data, Remote sensing, Maximum likelihood method

Abstract

Cite this article as:

Y. Kobayashi and M. Inamura, “Effects and Improvement of Mixel Data in the Category Classification of Remote Sensing Image Using EM Algorithm,” J. Robot. Mechatron., Vol.6 No.1, pp. 63-68, 1994.

Data files:

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

Effects and Improvement of Mixel Data in the Category Classification of Remote Sensing Image Using EM Algorithm

Yukio Kobayashi and Minoru Inamura*

Yukio Kobayashi and Minoru Inamura^*