CAJ | 학술논문

传统遥感光谱成像系统的空间分辨率和光谱分辨率是衡量成像品质的重要指标，而它们受制于探测传感器的点阵密度，提高遥感光谱成像传感器的性能代价非常巨大。另一方面，在入射光能量一定的条件下，由于高分辨光谱的窄波段成像与低窄带辐射能量接收之间的矛盾，传统遥感光谱成像方法的空间分辨率和光谱分辨率往往难以兼得。如何利用普通探测器获得高分辨率图像是众多学者们面临的挑战。针对此问题，文章以压缩感知为理论依据．提出一种基于编码感知一特征解耦的光谱计算成像新方法。该方法无需提高传感器阵列密度，只需控制电子快门曝光和数据处理，就可以做到在保持较高光谱分辨率的情况下，大幅提升空间分辨率。
전통요감광보성상계통적공간분변솔화광보분변솔시형량성상품질적중요지표，이타문수제우탐측전감기적점진밀도，제고요감광보성상전감기적성능대개비상거대。령일방면，재입사광능량일정적조건하，유우고분변광보적착파단성상여저착대복사능량접수지간적모순，전통요감광보성상방법적공간분변솔화광보분변솔왕왕난이겸득。여하이용보통탐측기획득고분변솔도상시음다학자문면림적도전。침대차문제，문장이압축감지위이론의거．제출일충기우편마감지일특정해우적광보계산성상신방법。해방법무수제고전감기진렬밀도，지수공제전자쾌문폭광화수거처리，취가이주도재보지교고광보분변솔적정황하，대폭제승공간분변솔。
Spatial resolution and spectral resolution of the remote sensing are the key performance indexes of the remote spectral images, which are restricted to the density of the spectral detector. However, the cost of manufacturing high-density detector is huge. On the other hand, when the energy of the incident light is fixed, high spatial resolution and high spectral resolution of traditional methods usually cannot be acquired simultane- ously ,due to the contradiction between narrow band imaging and low energy received from the narrow spectral bands. How to simultaneously enhance the spatial resolution of the images from the available detectors is facing challenges. Aiming at this problem, this paper, in the principle of compressive sensing, presents a new method of calculating spectral imaging based on coded sensing and characteristics decoupling. The proposed method can greatly enhance the spatial resolution and keep high spectral resolution simultaneously without increasing density of original imaging detector.