Cbers-1 Infrared Remote Sensor Mtf And Remote Sensing Image Quality Assessment Parameters Under Laboratory Conditions Related Modeling Study

MTF (Module Transfer Function), in the physical optics theory, is a evaluating index of imaging performance of optics system, which has close relation to the manufacture cost of the remote sensor and the quality of imaging. On the other hand, when the remote sensor runs on orbit, its performance will gradually degenerate and MTF will gradually descend too. So the manufacture units and application departments of the remote sensing image pay great attention to degeneration inspecting of MTF. At present, research focus on how to measure MTF directly from the remote sensing image. But this method has much difficulty and there are many work to do to make this method mature.Because the remote sensing image is the outcome of imaging of remote sensor, in theory, the change of MTF can be known from the remote sensing image, and the quality evaluation parameters reflect the change of quality of the remote sensing image. So we bring forward an assumption that we can build up a function model between MTF and image quality evaluation parameters, through which we calculate the change of MTF.We take example for the infrared remote sensor of the second satellite of CBERS-1, simulate the change of MTF in the laboratory, obtain the target images with the corresponding MTF, select appropriate parameters, set up the function model between optical system evaluation index MTF and image quality evaluation parameters in the laboratory, and the validation and analysis are given.We mainly finish the modeling in the laboratory, If we want to apply the model to calculate the actual MTF directly, the model must be gone on correcting, which is a research aspect later.In a word, this research is a work with new idea and basic research value, which has great relation to the foreground of measure running on orbit of the remote sensor, and to design of next satellite.