A simulation study of target detection using hyperspectral data analysis

E. Sharifahmadian; Y. Choi; S. Latifi

doi:10.1117/12.2016365

20 May 2013 A simulation study of target detection using hyperspectral data analysis

E. Sharifahmadian, Y. Choi, S. Latifi

Proceedings Volume 8744, Automatic Target Recognition XXIII; 874410 (2013) https://doi.org/10.1117/12.2016365
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Target detection is difficult when the target is concealed or placed under ground or water. To detect and identify concealed objects from a distance, the analysis of the HyperSpectral Imaging (HSI) and Wideband (WB) data is studied. While the HSI analysis may render surface information about objects, the WB data can reveal information about inner layers of the object and its content. Two of the challenging issues with object identification using HSI are (i) computational complexity of the analysis and (ii) signature mismatch. Here, the robust matched filter is emphasized for HSI processing. In addition, the wideband technology is utilized to provide more information about concealed target, and to support spectral processing for object uncovering more effectively. During simulation, electromagnetic waves and propagation areas are modeled. In fact, an object is modeled as different layers with different thicknesses. The existence of a target is estimated by the detection of spectral signatures relating to materials used in the target. In other words, the simultaneous presence of spectral signatures corresponding to the main materials of the target in the hyperspectral data helps detecting the target. The reflected higher frequency signals provide information about exterior layers of both an object and the background; in addition, the reflected lower frequency signals provide information about interior layers of the object. To identify different objects, the simulation is performed using HSI, and WB technology at different frequencies (MHz- GHz) and powers. Based on simulation, the proposed method can be a promising approach to detect targets.

Citation Download Citation

E. Sharifahmadian, Y. Choi, and S. Latifi "A simulation study of target detection using hyperspectral data analysis", Proc. SPIE 8744, Automatic Target Recognition XXIII, 874410 (20 May 2013); https://doi.org/10.1117/12.2016365

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
13 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Target detection

Signal attenuation

Hyperspectral target detection

Antennas

Radar

Hyperspectral imaging

Receivers

Show All Keywords

Keywords/Phrases

Search In:

Publication Years