Novel types of spectral sensors using coded apertures may offer various advantages over conventional designs, especially the possibility of compressive measurements that could exceed the expected spatial, temporal or spectral resolution of the system. However, the nature of the measurement process imposes certain limitations, especially on the noise performance of the sensor. This paper considers a particular type of coded-aperture spectral imager and uses analytical and numerical modelling to compare its expected noise performance with conventional hyperspectral sensors. It is shown that conventional sensors may have an advantage in conditions where signal levels are high, such as bright light or slow scanning, but that coded-aperture sensors may be advantageous in low-signal conditions.
Jonathan Piper, Peter Yuen, Peter Godfree, Mengjia Ding, Umair Soori, Senthurran Selvagumar, and David James, "Comparative noise performance of a coded aperture spectral imager," Proc. SPIE 9992, Emerging Imaging and Sensing Technologies, 99920G (Presented at SPIE Security + Defence: September 28, 2016; Published: 25 October 2016); https://doi.org/10.1117/12.2240926.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the conference proceedings. They include the speaker's narration along with a video recording of the presentation slides and animations. Many conference presentations also include full-text papers. Search and browse our growing collection of more than 12,000 conference presentations, including many plenary and keynote presentations.