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Mixture Density Estimation Under the Existence of Mixels
This paper focuses on a mixed pixel or mixel. In the mixture density estimation problem, we include implicit distributions produced by mixels, in addition to the explicit distributions produced by pure pixels. NOAA-AVHRR ch.5 images are classified into several categories including mixel categories based on a Bayesian decision rule, and three optimization schemes are compared.
Citation
Asanobu KITAMOTO, Mikio TAKAGI,
"Mixture Density Estimation Under the Existence of Mixels",
Proceedings of the 1995 International Geoscience and Remote Sensing Symposium (IGARSS'95),
doi:10.1109/IGARSS.1995.519666,
1995-7
BibTeX Format
@InProceedings{ kt:igarss95,
author = {Asanobu KITAMOTO and Mikio TAKAGI},
title = {Mixture Density Estimation Under the Existence of Mixels},
booktitle = {Proceedings of the 1995 International Geoscience and Remote Sensing Symposium (IGARSS'95)},
pages = {},
year = 1995,
month = 7,
doi = {10.1109/IGARSS.1995.519666},
note = {},
}
The paper for download is the modified version of the original paper in which errors in figures were corrected. The original paper is also for download.
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