The source-end method of remote sensing information quality enhancement and the physical basis of geoscience-photoelectric parameters connection

Abstract

<p indent="0mm">The improvement of spatial information quality is the basis and goal of the quantitative development of high-resolution remote sensing. This paper presents a new method for improving the quality of the remote sensing information obtained from the source of an imaging system; this method also realizes the mutual conversion of the geoscience and optical parameters. By continuously adjusting the photoelectric parameters of the imaging sensor, it was possible to minimize the observation error of the terrestrial object observation image. By adjusting the photoelectric physical parameters of the instrument, the quality of the remote sensing information was improved. The image digital number (<italic>DN</italic>) value obtained by field calibration experiments was used to adjust the photoelectric parameters by using the correction model <italic>DN</italic>=<italic>kL</italic>+<italic>g</italic> of the ground object <italic>L</italic>. When the real fitting coefficient <italic>k</italic> approached 1, and the deviation <italic>g</italic> approached 0, the image<italic> DN</italic> value approached the real value <italic>L</italic> of the ground object. Furthermore, when <italic>k</italic> deviated from 1 and <italic>g</italic> from 0, the observation error increased, and the instrument degenerated. The deteriorated components of the instrument could be obtained using the photoelectric parametric decomposition equation, which can be used to verify the quality of the instrument and to improve the quality of spatial information. The new mechanism for measuring the load quality of the remote sensing imaging based on the geo-optoelectronic parameter conversion and penetration can overcome the technical bottleneck of non-correlation between the surface parameters and photoelectric parameters of the imaging system. This mechanism solves the difficulty involved in measuring the remote sensing imaging error equivalently from the source of the photoelectric imaging system. The theory and experiment proved that the mechanism was effective and feasible.