Hyperspectral change detection by multi-band Census Transform

Hyperspectral imaging provides increased capability for many image processing tasks with respect to standard imaging systems. One of such tasks in hyperspectral image processing is change detection, which aims to detect the differences occurring between images acquired from the same scene at different times. In this paper, a panoramic hyperspectral imaging system is used to capture multitemporal hyperspectral data, and novel multi-band Census Transform (MCT) is proposed for change detection on these data. Experimental results validate the performance of the proposed method for the utilized acquisition system.