Abstract
Point spread function (PSF) of an imaging system is an important parameter to a remote sensing imaging system, and it is the important basis for image restoration [1]. The knife-edges method has been widely used to measure PSF because it provides a relatively easy way to get the point spread function. However, the location of the edge points in edge spread function (ESF) is difficult to determine of the knife-edges method, resulting in the inaccuracy of the point spread function. In this paper, we propose a new method to solve the problem of phase influence for calibrating PSF of space plane array camera. This method include: the design of target, the process of calibration and data processing. Then this method was used on calibrating PSF of GF-4 satellite panchromatic camera. The results showed that the new method could determine the PSF correctly.
Highlights
Point spread function (PSF), which is derived from physical optics, provides an accurate representation of the real blurs about an imaging system
The PSF is an impulse input of spatial response of an imaging system
In practice this method is very difficult to apply for an imaging system because it is difficult to obtain an impulse input for an imaging system
Summary
PSF, which is derived from physical optics, provides an accurate representation of the real blurs about an imaging system. (2) Pulse input method [3] This method is to find a linear object that is a contrast to surrounding objects from the remote sensing image. It estimates the PSF from its edge response. The knife-edges method is the most commonly used method to calibrate the PSF of a remote sensing imaging system. It has two major advantages: one is that the target of knife-edge on the ground is easy to design, and the other is that it is easy to understand and compute. We proposed a new method include staggered array target design and process of calibration
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