One of the major strengths resulting from hyperspectral imaging is target detection, specifically subpixel detection, which is generally carried out without full knowledge of the targets to be detected. The aim of this study is to design and develope a hyperspectral camera and then testing its results in hidden target detection domain. For this purpose, a coin was hidden under a cloth in a laboratory environment and then was take hyperspectral imaging of the hidden target. Initially, the images were labeled in terms of wavelength and band and geometric corrections and used for final processing. In order to detect image anomalies, the RX algorithm was used locally to identify pixels that are spectrally different from other pixels. To identify hidden target material, spectra of extracted as anomalies pixels were extracted and by using of the spectral library, hidden target material was identified. The accuracy of the extracted spectra was evaluated by the spectral angle, ACE , Likelihood and FP correlation methods and the results showed high accuracy of the target material identification process. تفاصيل المقالة