Compressive pushbroom and whiskbroom sensing for hyperspectral remote-sensing imaging

Most existing architectures for the compressive acquisition of hyperspectral imagery - which perform dimensionality reduction simultaneously with image acquisition - have focused on framing designs which require the entire spatial extent of the image be available at once to the sensor. On the other hand, hyperspectral imagery in remote-sensing applications is frequently acquired with a pushbroom or whiskbroom sensing paradigm which - incorporating line-based or pixel-based scanning, respectively - exploits the motion inherent in an airborne or satellite-borne sensing platform to acquire the image. Such pushbroom and whiskbroom sensing architectures are proposed for the compressive acquisition of hyperspectral imagery. Additionally, the necessity of employing multiple sensor arrays in order to sense a broad spectrum, including the infrared regime, is considered.