Hyperspectral imagers are often used in an airborne platform and have shown utility in material detection and identification. In these scenarios the sensor is flown over a scene and the motion of the aircraft and/or the scanning action of a gimbal causes motion blur in the collected imagery. The only solution to this problem is to use expensive pointing gimbals to stabilize the imager and allow for step scanning. The effects of motion blur are dependent on scan speed and integration time of the imager. A Headwall visible hyperspectral imager collected data of a knife edge target to experimentally show the effect of motion blur on spatial resolution in the along scan direction. A data cube was then used to simulate single-pixel and sub-pixel targets. A simulated step scanned scene and continuously scanned scene were then compared using target detection results. The continuous scanned scene showed a twenty five percent drop in performance over the step scanned scene.
Nathan Wurst and Joseph Meola, "Impact of platform motion on hyperspectral imaging target detection and ground resolution distance," Proc. SPIE 10644, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, 1064403 (Presented at SPIE Defense + Security: April 17, 2018; Published: 8 May 2018); https://doi.org/10.1117/12.2304455.
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