High precision image restoration based on Kalman filter for optical remote sensed images

被引：0

作者：

Beijing Institute of Space Mechanics & Electricity, Beijing ^{[1
]}

100076, China

不详 ^{[2
]}

430079, China

机构：

[1] Beijing Institute of Space Mechanics & Electricity, Beijing

[2] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan

来源：

Wuhan Daxue Xuebao Xinxi Kexue Ban | / 7卷 / 964-970期

基金：

中国国家自然科学基金;

关键词：

Image restoration; Kalman filter; Modulation transfer function; Optical imaging system;

D O I：

10.13203/j.whugis20130123

中图分类号：

学科分类号：

摘要：

High precision MTF measurement is the basis of high quality image restoration. Given the presence of noise in images and vibration from the payload, traditional MTF measurement based on the target image will produce a biased result, and the biased result will introduce new noise after image restoration. In this paper, based on analysis of characteristics and limitations of traditional image restoration method, we propose an image restoration approach based on high precision MTF measurement using the Kalman filter. This approach firstly uses Guassian fitting to obtain theoretical value of the line spread function from the measured value, then it uses the Kalman filter to obtain the true value of the line spread function from theoretical value and measured value. Experiments on TDI-CCD images show that the approach proposed in this paper yield better performance than traditional image restoration, especially for the water areas which contain less texture and city areas which contains rich texture.

引用

页码：964 / 970

页数：6

共 12 条

[1] Helder D., Choi T., Rangaswamy M., In-flight Characterization of Spatial Quality Using Point Spread Functions, International Society for Photogrammetry and Remote Sensing, 2, pp. 149-170, (2004)
[2] Choi T., IKONOS Satellite On-orbit Modulation Transfer Function Measurement Using Edge and Pulse Method, (2002)
[3] Qiu X., The Study of MTF Image Restoration Method, (2006)
[4] Helder D., On-orbit Modulation Transfer Function Measurements for IKONOS and QuickBird, (2006)
[5] Dennis L., IKONOS Satellite in Orbit Modulation Transfer Function Measurement Using Edge and Pulse Method, (2002)
[6] Ge P., Wang M., Pan J., Et al., A Study of Adaptive MTF Image Restoration of High Resolution TDI-CCD Image Data, Remote Sensing for Land & Resources, 4, pp. 23-28, (2010)
[7] Jiang P., Ye S., He S., Et al., Groud-based GPS Tomography of Wet Refractivity with Adaptive Kalman Filter, Geomatic and Information Science of Wuhan University, 38, 3, pp. 299-302, (2013)
[8] Yue Q., Qiu Z., Jia Y., Et al., Research on Image Simulation of Satellite Three-Line-Array TDI-CCD Camera, Geomatic and Information Science of Wuhan University, 35, 12, pp. 1427-1431, (2010)
[9] Forster B.C., Best P., Estimation of SPOT P-mode Point Spread Function and Derivation of a Deconvolution Filter, ISPRS Journal of Photogrammetry and Remote Sensing, 49, 6, pp. 32-42, (1994)
[10] Gu X., Li X., Min X., Et al., On-orbit Measurement and Compensation of MTF for CBERS 02B CCD Images, Science in China Ser E Information Science, 35, B12, pp. 26-40, (2005)

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