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A Study of Adaptive MTF Image Restoration of High Resolution TDI-CCD Image Data

doi:10.6046/gtzyyg.2010.04.06

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Abstract

The Modulation Transfer Function (MTF) is an important comprehensive evaluation index for the performance of the optical imaging system and also the most important part of image degradation model. According to the characteristics of TDI-CCD image data，this paper discussed the ways of calculating MTF of the image system based on the edge detection in remote sensing image，and implementing MTF compensation to the degradation image with winner filter and modified inverse filter (MIF) respectively. The results show that the adaptive MTF restoration processing method can effectively improve image quality of high resolution TDI-CCD image data. At present，this method has been successfully applied to the domestic ground satellite pre-processing system in China.

Keywords Controlling points Geography correction TM Topographic map

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	TP 75

Issue Date: 02 August 2011

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	HE Wei
	LI Bing-bai
	ZHANG Ya-Xiang
	JIN Zhi-qing

Cite this article:

HE Wei,LI Bing-bai,ZHANG Ya-Xiang, et al.
A Study of Adaptive MTF Image Restoration of High Resolution TDI-CCD Image Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(4): 23-28.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.04.06 OR https://www.gtzyyg.com/EN/Y2010/V22/I4/23

［1］焦斌亮，闫旭辉. 基于TDI-CCD成像像移分析及图像复原［J］. 宇航学报，2008，29(2)：675-678.

［2］薛良峰，齐欢. 图像复原的逆滤波器技术探讨［J］. 兵工自动化，2002，21(5)：46-48.

［3］顾行发，李小英，闵祥军，等.CBERS 02卫星CCD相机MTF在轨测量及图像MTF补偿［J］. 中国科学（E辑），2005，35(B12)：26-40.

［4］Choi T. IKONOS Satellite in Orbit Modulation Transfer Function (MTF) Measurement Using Edge and Pulse Method［D］. Electrical Engineering Department，South Dakota State University，2002.

［5］李云飞，李敏杰，司国良，等. TDI-CCD图像传感器的噪声分析与处理［J］. 光学精密工程，2007，15(8)：1196-1202.

［6］吴传庆，赵永超，童庆禧，等.基于光谱信息的遥感图像空间域自适应滤波［J］. 遥感学报，2004，8(1)：51-55.

［7］冈萨雷斯. 数字图像处理(第二版)［M］. 北京：电子工业出版社，2003：75-77.

［8］Greer P B，Van D T. Evaluation of an Algorithm for the Assessment of the MTF Using an Edge Method ［J］. Medical Physics，2000，27 (9)：2048-2059.

［9］Forster B C，Best P．Estimation of SPOT P-mode Point Spread Function and Derivation of a Deconvolution Filter［J］．ISPRS Journal of Photogrammetry and Remote Sensing，1994，49(6)：32-42．

［10］Fonseca L M G，Prasad G S D，Mascarenhas N D A．Combined Interpolation Restoration of Landsat Images Through FIR Filter Design Techniques［J］．International Journal of Remote Sensing，1993，14(13)：2547-2561．

［11］Boggione G A，Fonseca L M G. Restoration of Landsat-7 Images［C］//International Symposium on Remote Sensing of Environmental(ISRSE)，Hawai，2003：Poster Session-1.4.

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