Automatic Relative Radiometric Normalization for Change Detection of Satellite Imagery

Several relative radiometric normalization (RRN) techniques have been proposed till date most of which involve selection of pseudo invariant features whose reflectance are nearly invariant from image to image and are independent of seasonal cycles. Extraction of such points is quiet tedious and human operator has to provide mutual correspondence by choosing easily recognizable and time invariant points. In this paper, we intend to propose a new automatic radiometric normalization technique to select PIFs in panchromatic images known as Bin-Division Method. For multispectral images, MAD (Multivariate Alteration Detection) has been employed for selecting PIFs based on the assumption that MAD components are invariant to affine transformation. This, followed by robust linear regression constitutes the whole automatic radiometric normalization procedure.