Abstract—This article is studied changes detection used in hyper spectrum images. Change Detection (CD), processing of identity and non-dependent studies and spectral changes in the signal. Sensors hyper spectrums of image‪ (HSI) are able to collect data on thousands of narrow-band spectrum. Also the sensors provide High spatial resolution and immaterial valuable data that can be useful for CD. This process developed and used in algorithms to detect changes in hyper spectrum images for The main objective of this study is to investigate HSI differences in algorithms of detect changes. Studied methods in this article including differing image, the image processing, the principal component analysis, identifying changes of linear chronogram, correlation coefficient of the possibility, scale of detect differences of coronel changes. Algorithms in MATLAB is displayed and their efficiency shows with a false alarm clauses rate and deleted changes.
 
Index Terms—hyper spectrum xerography, detective algorithms of changes (HIS), spatial resolution, ratio forming of image.

Cite: Gholam Reza Shahriari, Seyed Mostafa Bijani, and Abolfazl Amiri, "Survey of HIS Method in Image Change Detective Algorithms Using Kernel Techniques," International Journal of Electronics and Electrical Engineering, vol. 1, no. 3, pp. 206-212, September 2013. doi: 10.12720/ijeee.1.3.206-212