Technology and Methodology |
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On-orbit MTF estimation and restoration of GF-2 satellite image |
WANG Zhizhong1,2, ZHANG Qingjun1 |
1. China Institute Aerospace Science and Technology, Beijing 100086, China;
2. China Centre of Earth Resource Satellite Data and Application, Beijing 100094, China |
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Abstract Modulation transfer function(MTF) is not only an efficient method for monitoring the on-orbit satellite operation status and performance but also an important parameter which is often used to restore satellite image. In this paper, the knife edge method was used to measure the on-orbit MTF of GF-2 satellite panchromatic camera. During the calculation of MTF, Hamming window was used in the process of clipping the line spread function(LSF) in order to restrain the leak of frequency spectrum. Besides, the authors expanded the LSF with zeros so as to improve the sampling frequency during the Fourier transform. The experimental results show that the sampling density of MTF using the knife edge method proposed in this paper is 5 times more than that of the traditional method and the MTF curve is also smoother compared with that of the traditional method. Therefore, the more accurate MTF matrix value can be obtained to improve the performance of image restoration by this method. In this paper, the Wiener filtering method was used to restore the GF-2 satellite panchromatic image with the MTF matrix value. The experimental results also show that the MTF matrices computed by the two methods can all improve the clearness and object edge information of the image. However, the image restored by the MTF matrix values of the authors' method is superior to that of the traditional method in such characteristics as contrast, edge energy and average gradient.
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Keywords
object-oriented
optimal segmentation scale
supervised evaluation
remote sensing image
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Issue Date: 20 October 2016
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