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Bio-Inspired Adaptive Hyperspectral Imaging for Real-Time Target Tracking

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3 Author(s)
Tao Wang ; Dept. of Comput. Sci., City Coll. of New York, New York, NY, USA ; Zhigang Zhu ; Blasch, E.

In this paper, we present an efficient and novel approach to embed hyperspectral imaging (HSI) capability in an intelligent panoramic scanning system for real-time target tracking and signature acquisition. The sensor platform we propose consists of a dual-panoramic peripheral vision component and a narrow field-of-view (FOV) HSI component. The panoramic HSI design optimizes the tradeoff of a wide FOV, a high-spatial/spectral resolution in real-time imaging, and bandwidth limitations. The dual-panoramic scanners with a hyperspectral fovea sensor platform improves some existing designs in literature in three aspects: 1) a panoramic view is provided instead of just a normal wide-angle view; 2) a dual scanning system is designed to obtain moving targets in a very effective and efficient manner; and 3) active control of the hyperspectral sensor is added to facilitate signature acquisition of targets of various locations that is required in real time for target tracking.

Published in:

Sensors Journal, IEEE  (Volume:10 ,  Issue: 3 )