Abstract

AbstractA multi-field-of-view and multi-boresight-pointing remote sensing satellite drift angle correction datum optimization and imaging quality analysis method are proposed for ocean color satellites. In this research, different ground projection positions as the drift angle correction datum are selected. The pixel influence ratios caused by the drift angle residuals are calculated, and combining the payload imaging mode and parameters the effects on imaging quality are analyzed. In the simulation, the drift angle correction residuals and pixel influence ratios of the two types of ocean satellite payloads are obtained. The results show that the proportion of pixels caused by the drift angle correction residual which the datum is center of the boresight of the low-resolution payload reaches in the peak at 37.87% for the high-resolution payload which the Time Delay Integration (TDI) series is 96. When the center of the boresight of the high-resolution payload is used as the datum in the same TDI series condition, the influence ratio of the pixel decreased to 29.63%. The simulation model and method can be used to select the correction datum for the drift angle of the ocean satellite. The ocean satellite takes the center of the boresight of the high-resolution payload as the correction datum which is deviation from sub-point. The influence on the imaging quality of low-resolution and high-resolution imaging payload is acceptable. This research can be used as the principle for the selection of the ocean satellite drift angle correction datum and the design basis for the future ocean satellite imaging modes and payloads.KeywordsOcean color satelliteDrift angleCorrection datumImage quality

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