Single-pixel cameras (SPCs) and event-based sensors (EBS) are two technologies representing two different yet complementary sensing paradigms. Whereas single-pixel cameras make global measurements, from which local information is inferred, EBS cameras measure only local intensity variations and cannot naturally measure the global light level. In standard SPC systems, local information must be inferred from many global measurements and the total resolution of the camera is limited by the resolution of the random patterns displayed on the DMD. Event Based Sensors, however, measure the outlines of moving objects at a higher spatial resolution than the DMD patterns. By allowing the reconstruction to incorporate this extra edge information, super-resolution with respect to the DMD patterns can be achieved. The same idea holds in the time domain - the EBS camera is able to measure scene changes that occur faster than the DMD pattern display rate. In a traditional SPC, fast scene motion would lead to motion blur. The InSPIRED camera, however, can likely reconstruct crisp, high-framerate video by combining the low-resolution intensity information given by the SPC with the high-resolution edge-information given by the EBS camera. By marrying the sparse sampling of an SPC with the high temporal feature map that results from an EBS we will be able to define a new image sampling technique that will yield the low SWaP-C benefits of each while interrogating scene dynamics in a manner that the fields of compressive sensing and event based sensing cannot accomplish in isolation.
KEYWORDS: Sensors, Spectroscopy, Digital micromirror devices, Video, Data acquisition, Reconstruction algorithms, Cameras, Hyperspectral imaging, Detection and tracking algorithms, Video compression
We present the system integration and validation tests of a compressive Multi-Mission Electro-Optical Sensor (MMEOS). With the unique algorithm implementation, the sensor exhibits exceptional agility enabling both multispectral (MS) sensing for wide area situational awareness and hyperspectral (HS) sensing for target recognition and identification. The sensor enables seamless mission changes on-the-fly via only software configuration of the operational parameters such as spatial, spectral and temporal resolutions based on mission requirements.
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