Title :
Hyperspectral change detection based on Multi-band Census Transform
Author :
Cesmeci, Davut ; Karaca, Ali Can ; Erturk, Alp ; Gullu, Mehmet Kemal ; Erturk, S.
Author_Institution :
Isaret ve Goruntu Isleme Lab. (KULIS), Kocaeli Univ., Kocaeli, Turkey
Abstract :
Change detection aims to detect the differences occurring between images of the same scene taken at different times. Hyperspectral images, due to their high spectral resolution, provide more reliable results for change detection applications with respect to other imaging systems. In this paper, Multi-band Census Transform (MCT) is proposed for change detection for hyperspectral images. Experimental results show that the proposed method improves change detection performance.
Keywords :
hyperspectral imaging; image colour analysis; image resolution; object detection; transforms; MCT; change detection applications; hyperspectral images; multiband census transform; spectral resolution; Charge coupled devices; Conferences; Covariance matrices; Hyperspectral imaging; Signal processing; Transforms; Census transform; change detection; hyperspectral images;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830628
