乐国庆 Le Guo-Qing, 郭永飞 Guo Yong-fei, 刘春香 Liu Chun-xiang, 马天波 Ma Tian-bo, 石俊霞 Shi Jun-xia
{"title":"Micro-vibration detection of remote sensing camera under low exposure condition","authors":"乐国庆 Le Guo-Qing, 郭永飞 Guo Yong-fei, 刘春香 Liu Chun-xiang, 马天波 Ma Tian-bo, 石俊霞 Shi Jun-xia","doi":"10.3788/CO.20140706.0917","DOIUrl":null,"url":null,"abstract":"To deal with the effect of flutter of carrying platform on remote sensing camera,motion estimation algorithm can be used to the image sequences taken by auxiliary high-speed array CCD camera during exposure to estimate the vibration. Pixel binnng is proposed to compensate the time of exposure and to improve the brightness and contrast as well as SNR of the images. And a region selection algorithm is used to select the image region by which we can estimate the displacement using gray projection algorithm. The experiment results show that the error is 1 pixel by utilizing the improved algorithm,which greatly enhance the accuracy and stability.","PeriodicalId":10133,"journal":{"name":"Chinese Journal of Optics and Applied Optics","volume":"257 1","pages":"917-924"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Optics and Applied Optics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3788/CO.20140706.0917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
To deal with the effect of flutter of carrying platform on remote sensing camera,motion estimation algorithm can be used to the image sequences taken by auxiliary high-speed array CCD camera during exposure to estimate the vibration. Pixel binnng is proposed to compensate the time of exposure and to improve the brightness and contrast as well as SNR of the images. And a region selection algorithm is used to select the image region by which we can estimate the displacement using gray projection algorithm. The experiment results show that the error is 1 pixel by utilizing the improved algorithm,which greatly enhance the accuracy and stability.