DocumentCode
298446
Title
Mixture density estimation under the existence of mixels
Author
Kitamoto, Asanobu ; Takagi, Mikio
Author_Institution
Inst. of Ind. Sci., Tokyo Univ., Japan
Volume
1
fYear
34881
fDate
10-14 Jul1995
Firstpage
121
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IGARSS.1995.519666
Filename
519666
Link To Document