Designing and Development of Hyperspectral Camera to Hidden Targets Detection
محورهای موضوعی : فصلنامه علمی پژوهشی سنجش از دور راداری و نوری و سیستم اطلاعات جغرافیاییHamidreza Bakhtiari 1 , Abolfazl Chaman Motlagh 2 , Abbas Bashiri 3
1 - M.Eng student of Electronic, Microelectronic and Nanoelectronic devices, department of Information and communication technology, Imam Hossein University, Tehran, Iran
2 - Assistant professor of Electronic, department of Information and communication technology, Imam Hossein University, Tehran, Iran
3 - Instructor of electronic, department of Information and communication technology, Imam Hossein University, Tehran, Iran
کلید واژه: Accuracy assessment, Anomaly, hyperspectral camera, hidden target detection, RX algorithm,
چکیده مقاله :
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.
One of the major strengths resulting from hyperspectral imaging is target detection, specifically sub pixel detection, which is generally carried out without full knowledge of the targets to be detected. The aim of this study is to design and development of hyperspectral camera and then tested 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 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 target material identification process.
