Abstract

Because of the complexity of full remote sensing image correction, there has been considerable interest in image-based techniques that provide relative normalization. Relative radiometric correction is a method of correction that applies one image as a reference and adjusts the radiometric properties of subject image to match the reference. In this paper, we present a radiometric normalization technique to select pseudo invariant features (PIFs) in multispectral satellite image. Multivariate Alteration Detection method (MAD) has been employed for VNREDSat-1 satellite image of the study areas. Results of the experimentation show that MAD provides a fast, reliable and robust method for radiometric normalization of VNREDSAT-1 multispectral image time series.