Challenges in design and development of Compressive Sensing based Single pixel optical Camera System for Spaceborne missions

J. Kumar, B. N. Sharma, K. A. Kumar, A. Sarkar
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Abstract

Evolution of CCD and CMOS sensors as prime imaging technology has enabled development of efficient and compact remote sensing systems for spaceborne missions. These imaging systems typically sample the ground scenes by means of a linear or area array of photon detectors. The quest for resolving higher spatial frequencies over large ground area with better radiometric accuracies results in huge data volume constraining the transmission bandwidth. This necessitated the development of complex on-board compression systems in digital domain with power and weight constraints. Recently, compressive sensing (CS) has emerged as potential signal processing technique for efficiently acquiring and reconstructing the signals. The main advantage of this technique is that it compresses the signal during sensing process, thereby reducing burden on on-board processing electronics systems. Based on the CS concept, conceptual framework for single pixel optical camera systems have been extensively studied as it has potential to significantly revolutionize commercial digital camera systems. However, there has not been any systematic studies towards using the CS based single pixel camera systems for spaceborne missions.
基于压缩感知的星载单像素光学相机系统设计与开发中的挑战
CCD和CMOS传感器作为主要成像技术的发展,为星载任务提供了高效、紧凑的遥感系统。这些成像系统通常通过线性或区域光子探测器阵列对地面场景进行采样。为了在大的地面区域以更好的辐射精度解决更高的空间频率,巨大的数据量限制了传输带宽。这就要求在数字领域开发具有功率和重量限制的复杂车载压缩系统。近年来,压缩感知(CS)已成为一种有潜力的信号处理技术,可以有效地获取和重构信号。该技术的主要优点是在传感过程中压缩了信号,从而减轻了车载处理电子系统的负担。基于CS概念,单像素光学相机系统的概念框架已经得到了广泛的研究,因为它有可能给商业数码相机系统带来重大变革。然而,在星载任务中使用基于CS的单像素相机系统还没有任何系统的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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