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

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Summary

Introduction

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

Design of staggeret target
Process of calibration data ķ Picture sampling
Results
Conclution
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