NDLI: Estimation method of spectral characteristic and area ratio of land cover based on probabilistic mixture model

Content Provider	IEEE Xplore Digital Library
Author	Susaki, J. Shibasaki, R.
Copyright Year	1999
Description	Author affiliation: Inst. of Ind. Sci., Tokyo Univ., Japan (Susaki, J.)
Abstract	Authors propose a parameter estimation method for the mixel problem in satellite images with coarse resolution. While conventional researches for the mixel problem have focused on only pure class probability distribution, Kitamoto and Takagi (1998) proposes a mixel decomposition method, which is based on an assumption that pure class has normal distribution, considers not only pure class but also mixel class probability distribution, and calculates mixel class distribution through convolution between pure class distributions. But the coarse resolution data from simulated data satisfying the assumption shows that the whole of pure class distribution does not obey one normal distribution. Therefore, in the first stage of our method, the original pure class distributions are restored based on the assumption that coarse pure class consists of two different normal distribution because some pure pixels are changed into mixels. In the second stage, the rest of pure class distributions and mixel class distribution are estimated. Both estimations in those two stages are conducted by EM algorithm. The result of the experiment using of simulation data show that our method can estimate each class distribution parameter more accurately than Kitamoto and Takagi's method.
Starting Page	770
Ending Page	772
File Size	520380
Page Count	3
File Format	PDF
ISBN	0780352076
DOI	10.1109/IGARSS.1999.774435
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-06-28
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Probability density function Gaussian distribution Reflectivity Parameter estimation Density functional theory Satellites Image resolution Probability distribution Convolution Histograms
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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