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CORC

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Ground-Based IDOAS De-Striping by Weighted Unidirectional Variation 期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 卷号: 42
作者:  Xi Liang;  Si Fu-qi;  Jiang Yu;  Zhou Hai-jin;  Qiu Xiao-han
收藏  |  浏览/下载：25/0  |  提交时间：2022/05/05
Reflection seismic waveform tomography of physical modelling data 期刊论文
JOURNAL OF GEOPHYSICS AND ENGINEERING, 2016, 卷号: 13, 期号: 2, 页码: 146-151
作者:  Rao, Y.;  Wang, Y.;  Zhang, Z. D.;  Ning, Y. C.;  Chen, X. H.
收藏  |  浏览/下载：19/0  |  提交时间：2017/11/22
An improved histogram matching algorithm for the removal of striping noise in optical remote sensing imagery 期刊论文
OPTIK, 2015, 卷号: 126, 期号: 23, 页码: 15536-15560
作者:  Cao, Biao;  Du, Yongming;  Xu, Daqi;  Li, Hua;  Liu, Qinhuo
收藏  |  浏览/下载：19/0  |  提交时间：2016/04/20
Hyperspectral Imagery Denoising Based on Oblique Subspace Projection 期刊论文
ieee journal of selected topics in applied earth observations and remote sensing, 2014
Wang, Qian; Zhang, Lifu; Tong, Qingxi; Zhang, Feizhou
收藏  |  浏览/下载：4/0  |  提交时间：2015/11/11
Graph-Regularized Low-Rank Representation for Destriping of Hyperspectral Images 期刊论文
ieee transactions on geoscience and remote sensing, 2013, 卷号: 51, 期号: 7, 页码: 4009-4018
作者:  Lu, Xiaoqiang
收藏  |  浏览/下载：24/0  |  提交时间：2015/05/29
Noise estimation in a noise-adjusted principal component transformation and hyperspectral image restoration 期刊论文
2010, 2010
Xu, Bing; Gong, Peng
收藏  |  浏览/下载：2/0
Destriping of TDI-CCD remote sensing image (EI CONFERENCE) 会议论文
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
Zhao B.; He B.
收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25
Based on the characteristic of striping noise in remote sensing images  a new destriping technique for the improved threshold function using lifting wavelet transform is presented in this letter. It can overcome the shortcoming of the hard threshold function and soft threshold function. The lifting wavelet transform is easily realized. Also it is inexpensive in computer time and storage space compared with the traditional wavelet transform. We also compare the improved threshold function with some traditional threshold functions both by visual inspection and by appropriate indexes of quality of the denoised images. Evaluations of the results based on several image quality indexes indicate that image quality has been improved after destriping. The destriped images are not only visually more plausible but also suitable for computerized analysis and it did better than the existed ones. 2010 IEEE.  
Destriping method using lifting wavelet transform of remote sensing image (EI CONFERENCE) 会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Zhao B.; He B.; Cong Y.
收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25
Based on the characteristic of striping noise in remote sensing images  a new destriping noise technique for the improved multi-threshold method using lifting wavelet transform applied to remote sensing imagery is presented in this letter. Have used the lifting wavelet decomposition algorithm  the thresholds are determined by corresponding wavelet coefficients in every scale. Remote sensing imagery is so large that the algorithm must be fast and effective. The lifting wavelet transform is easily realized and inexpensive in computer time and storage space compared with the traditional wavelet transform. We also compare the method with some traditional destriping methods both by visual inspection and by appropriate indexes of quality of the denoised images. From the comparison we can see that the adaptive threshold method can preserve the spectral characteristic of the images while effectively remove striping noise and it did better than the existed ones. 2010 IEEE.  
NEW THOUGHTS FOR ONBOARD COMPRESSION OF SATELLITE IMAGES 会议论文
2009 Ieee International Geoscience and Remote Sensing Symposium, Vols 1-5, New York
Gao, Lianru; Ran, Qiong; Zhang, Bing; Chi, Yaobin; Wang, Zhiyong
收藏  |  浏览/下载：31/0  |  提交时间：2014/12/07
Study of removing striping noise in CCD image - art. no. 60274X 会议论文
2006
Xiu J. H.; Zhai L. P.; Liu H.
收藏  |  浏览/下载：5/0  |  提交时间：2013/03/28

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