The research on relative radiometric normalization for change detection of multitemporal images

Abstract

The procedure of radiometric normalization is necessary as change detection (CD) is highly dependent on accurate geometric and radiometric correction. The quality of radiometric normalization highly affects the results of change detection. During the last years, many methods on radiometric normalization have been proposed. However, they are generally proposed not for CD. In this paper, we will discuss these methods for CD. The ultimate objective of CD is identifying changes in the state of an object, or other earth-surface features, between different data. If you can't properly deal with radiometric normalization in CD, or the relationship between radiometric normalization and CD, you will fall into trouble. With respect to the accuracy, efficiency and operation of radiometric normalization for CD in VHR(very high resolution images such as spot5,QuickBird,Iknos), we design the processing procedure of radiometric normalization for CD in multitemporal images. Moreover, an improved matching algorithm based on Harris corner detection is described in this paper, which makes full use of graphic point feature, gray-level pixel and location information. In experiment, the proposed procedure has been proved effective and can be recommended for use in CD projects.