MR,Multiple Regression,multiple regressions,Multiplicative Regression,multiples regressions

Multiple regression is a common technique used when performing digital analysis on images to obtain continuous, quantitative, variables (as temperature, biomass, etc). In this scenario pixels are treated as samples from which several independent variables are known; when remote sensing images are available, the different spectral bands offered by a given sensor are often used as independent variables. The dependent variable is also a quantitative variable, such as a forest inventory variable or a climate variable (e.g., temperature)...

Alaitz Zabala, et al. Implications of JPEG2000 lossy compression on multiple regression mode...