Alteration Mapping Based on Mixture Tuned Matched Filtering Method and with Use of Spectral Images

Hyperspectral satellite imagery like Hyperion impliescollecting data from large number of spectral bands. Therefore, they can be used for some applications that cannotbe executed by multispectral satellite images. The advantage of higher spectral resolution is accompanied by the weakness of lower spatial resolution for some applications. Consequently, we are always facing with mixed pixels, i. e. mixed, or a mixture of spectral responses of background and several objects (Fauvel et al. , 2006). Sub - pixel target detection methods are able to identify the percentage and location of objects in a mixed pixel. Accordingly, more attention has been paid to them compared tothe classification procedures. In recent years, due to some shortages in pixel-based classification methods, the number of methods and publications in sub-pixel target detection have been increased, especially for mineral mapping and alteration in geological units (Kruse et al., 2003; Ellis and Scott, 2004; Qiu et al., 2006; Zhang et al, 2007; Mezned et al., 2009; Gabr et al., 2010; Hosseinjani and Tangestani, 2011; Kruse, 2012). Some studies show the superiority of sub-pixel over pixel-base methods for these fields of applications. Kruse, et al., (2013) compared mineral maps obtained from airborne hyperspectral with space borne EO-1/Hyperion using Mixture Tuned Matched Filtering (MTMF), Minimum Noise Fraction (MNF) and N - dimensional visualization, in Nevada and Wissy valley. Hosseinjani and Tangestani (2011) used ASTER data by LSU and MTMF methods. Theyclassified three different groups of alterations, including Perilofiet- Aloniet, Serisit- Caleouniet, Clorit-Calsit- Ipidot. In this work, after prerequisite stages of image pre-processing for Hyperion images, MTMF method was utilized for determining mineral alteration in Mozahem-Babak city (volcanic area).