Multi-temporal Nonlinear Regression Method for Landsat Image Simulation

Multilayer Perceptron-Based Phenological and Radiometric Normalization for High-Resolution Satellite Imagery

“…At this time, except for histogram matching, normalization is performed through regression equations, while assuming a linear relationship between the pixels at the same position in each band [21]. However, most remote sensing data are nonlinearly distributed, and the surface of the earth is composed of a complex mixture of natural and man-made features that exhibit nonlinear characteristics [22][23][24]. Changes that are caused by vegetation in particular have the most typical characteristics, including nonlinearity, which induces serious disturbances when change detection is performed [25,26].…”