A method for remote sensing image restoration using gyroscope sensor

被引：0

作者：

Wu Wenshuang ^{[1
]}

Feng Huajun ^{[1
]}

He Lirong ^{[1
]}

Xu Zhihai ^{[1
]}

Li Qi ^{[1
]}

Chen Yueting ^{[1
]}

Yang Chenwei ^{[1
]}

Zheng Zhenzhen ^{[2
]}

机构：

[1] Zhejiang Univ, Coll Opt Engn, State Key Lab Modern Opt Instrumentat, Hangzhou 310027, Zhejiang, Peoples R China

[2] Zhangjiang Innopk, Shanghai Engn Ctr Microsatellites, Shanghai, Peoples R China

来源：

AOPC 2017: OPTICAL SENSING AND IMAGING TECHNOLOGY AND APPLICATIONS | 2017年 / 10462卷

基金：

美国国家科学基金会;

关键词：

image restoration; gyroscope; blur kernel estimation; TV regularization; remote sensing image;

D O I：

10.1117/12.2283540

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

Fast image restoration for blurred remote sensing image is one of the focus problem in optical image processing. We present a method for remote sensing image restoration using a gyroscope sensor mounted with the camera. With motion track of the camera obtained from gyroscope sensor, we get a better PSF(Point Spread Function) estimation by calibrating the camera. Then we use the TV regularization to solve this non-blind deconvolution which runs faster than blind deconvolution. In experiments, we established a platform to simulate the vibration of satellite and get the synchronized gyroscope data in the exposure time, then we compare our restoration results with ground truth. Our experiments show that, the method has a good performance for blurred image caused by vibration of image system.

引用

页数：6

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