关键词: 遥感, 成像模型, 系统传递函数(MTF), 信噪比(SNR), 质量评价

Abstract: Following the optical remote sensing imaging mechanism and combining image spatial spectrum, MTF (modulation transfer function) and SNR (signal noise ratio) models together organically, a novel spatial frequency based radiative respond modeling (SFRR) is presented which has definite physical meaning. SFRR has two breakthrough points, one is reducing the comprehensive radiative model’s dependence on the complicated earth object’s spectral and reflectance; the other is establishing the theory basis of radiative and geometric quality correlation modeling. In geometric positioning accuracy experiments, the ZY3 satellite’s forward and backward stereo images are used to produce multilevel MTF degrade and noised simulation images. By automatic registering the forward and backward images, the Root-Mean-Square error of matched points is computed to judge the correlation between SFRR and geometric positioning accuracy, which proves that SFRR model has good correlation with geometric quality. The research will be helpful for optical remote sensing system optimizing, remote sensing image processing and applying.

Key words: remote sensing, imaging model, MTF, SNR, quality evaluation