For high spatial resolution optical remote sensing imaging system, the performances of sampling imaging system are traditionally designed and evaluated according to the system SNR and the system MTF at Nyquist frequency. On the basis of information theory, this paper proposed an optimization design and evaluation specification based on full remote sensing imaging chain: information density. It combined various imaging quality parameters, such as MTF, SNR and sideband aliasing, as well as included the influences of the scene, atmosphere, remote sensor and satellite platform in in-orbit imaging chain to the imaging quality. The system designs and experiments under different resolutions were also conducted. The experiment result showed that information density can be used to evaluate the performance of sampling imaging system and direct the optimization design of optical remote sensing system with a high spatial resolution.
Ningjuan Ruan, Jinping He, Zhaojun Liu, and Xiaoyong Wang, "Optimization design and evaluation specifications analysis for the optical remote system with a high spatial resolution," Proc. SPIE 9988, Electro-Optical Remote Sensing X, 99880J (Presented at SPIE Security + Defence: September 27, 2016; Published: 21 October 2016); https://doi.org/10.1117/12.2241350.
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