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Compressive pushbroom and whiskbroom sensing for hyperspectral remote-sensing imaging

机译：压缩手推扫帚和扫帚扫帚传感，用于高光谱遥感成像

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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.
机译：用于压缩成像的高光谱图像的大多数现有体系结构（与图像采集同时执行降维）都集中在框架设计上，该框架设计要求图像的整个空间范围可立即供传感器使用。另一方面，遥感应用中的高光谱图像通常是通过推扫帚或旋转扫帚传感范式获取的，它们分别结合了基于行或基于像素的扫描，从而利用了机载或卫星传感平台固有的运动来进行探测。获取图像。提出了这种推扫式扫帚和扫帚式扫帚传感结构用于高光谱图像的压缩采集。另外，考虑了采用多个传感器阵列以感测包括红外范围的广谱的必要性。

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