Development of simple method for extract pixel inside spectral information

Category Decomposition-based Within Pixel Information Retrieval Method and its Application to Partial Cloud Extraction from Satellite Imagery Pixels

“…In order to estimate the maximum occupancy category in Mixel, category decomposition [1] is required to estimate the occupancy rate of each category. Several categorical decomposition methods have been devised [1][2][3][4][5][6], but in this study, the categorical decomposition is formulated using the maximum likelihood estimation method that takes observation errors into consideration. Using this theory has the advantage that unclassified pixels can be determined to be statistically meaningful.…”

Context Classification based on Mixing Ratio Estimation by Means of Inversion Theory

“…Mixel class mixing ratio estimation method based on the concept of feature mixing, using inverse matrix, generalized inverse matrix, quadratic programming [2]- [4], least squares method [5], surrounding 8 pixels. Considering the state of, the one obtained by linear regression has been proposed [6]. In addition, when calculating the spectral reflection characteristics of Pure Pixe1 from the image, the conventional method considers the residual of the observation vector and its estimated value in consideration of the scattering reflection characteristics of the observation target, fluctuation of observation conditions, and dispersion due to measurement error.…”