Title :
Mixture density estimation under the existence of mixels
Author :
Kitamoto, Asanobu ; Takagi, Mikio
Author_Institution :
Inst. of Ind. Sci., Tokyo Univ., Japan
Abstract :
The paper focuses on a mixed pixel or mixel. In the mixture density estimation problem, the authors include implicit distributions produced by mixels, in addition to the explicit distributions produced by pure pixels. NOAA-AVHRR channel 5 images are classified into several categories including mixel categories based on a Bayesian decision rule, and three optimization schemes are compared
Keywords :
Bayes methods; decision theory; geophysical signal processing; image classification; maximum likelihood estimation; optimisation; remote sensing; statistical analysis; Bayesian decision rule; NOAA-AVHRR channel 5 images; explicit distributions; implicit distributions; mixed pixel; mixels; mixture density estimation; optimization schemes; Argon; Bayesian methods; Biomedical imaging; Density functional theory; Gaussian distribution; Probability density function; Random variables; Remote sensing; Shape; Stability;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.519666
