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CAS IR Grid
机构
长春光学精密机械与物... [3]
遥感与数字地球研究所 [3]
西安光学精密机械研究... [2]
沈阳自动化研究所 [1]
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OAI收割 [9]
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会议论文 [9]
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2019 [1]
2014 [2]
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2011 [2]
2010 [2]
2008 [1]
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Infrared stripe noise correction algorithm based on multi-scale analysis and one-dimensional vector convolution
会议论文
OAI收割
Shanghai, China, December 20-23, 2019
作者:
Jiang P(姜平)
;
Wang ED(王恩德)
;
Feng DQ(冯达其)
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收藏
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浏览/下载:16/0
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提交时间:2020/03/22
Non-uniformity correction
focal-plane array
infrared image
Multi-scale
destriping
Destriping remotely sensed data using anisotropic diffusion in wavelet domain
会议论文
OAI收割
2014 4th IEEE International Conference on Information Science and Technology, Shenzhen, China, 26-28 April 2014
Feng, Quanlong
;
Gong, Jianhua
收藏
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浏览/下载:36/0
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提交时间:2014/12/13
anisotropic diffusion
destriping
remote sensing
wavelet analysis
A new destriping method combining moment matching and interpolation in infrared images
会议论文
OAI收割
2014 4th ieee international conference on information science and technology, icist 2014, shenzhen, china, 2014-04-26
作者:
Cao, Jianzhong
;
Liao, Jiawen
;
Yang, Lei
收藏
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浏览/下载:12/0
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提交时间:2015/03/31
The Generating Mechanism of strips and Destriping Algorithm of HJ-1A Hyperspectral Image
会议论文
OAI收割
international symposium on photoelectronic detection and imaging 2013: imaging spectrometer technologies and applications, 2013
作者:
Yu Tao
;
Wei Ru-yi
;
Gao Xiao-hui
收藏
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浏览/下载:9/0
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提交时间:2014/09/17
An improved destripe noises method for TDI-CCD images (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
作者:
He B.
收藏
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浏览/下载:17/0
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提交时间:2013/03/25
The new destriping method using lifting wavelet transform by means of the improved threshold function is presented in this letter. It can overcome the deficiency of the hard and soft threshold function. As compared with the known threshold functions
the quality of the denoised images using the improved threshold function is much better. The results based on several image quality indexes present that the destriped images are not only visually more plausible but also suitable for analysis. Also it is reasonable in computer time and storage space to use the lifting wavelet transform. 2011 IEEE.
An improved approach based on Moment Matching to Destriping for Hyperion data
会议论文
OAI收割
2011 3rd International Conference on Environmental Science and Information Application Technology Esiat 2011, Vol 10, Pt A, Amsterdam
Xie, Yi-Song
;
Wang, Jin-Nian
;
Shang, Kun
收藏
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浏览/下载:15/0
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提交时间:2014/12/07
Hyperion data
Hyperspectral
Destriping
Moment matching
Visual
effect
Quantitative assessment
EO-1 HYPERION
AVIRIS
Destriping of TDI-CCD remote sensing image (EI CONFERENCE)
会议论文
OAI收割
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
作者:
He B.
收藏
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浏览/下载:21/0
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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
OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:
He B.
收藏
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浏览/下载:22/0
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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.
Destriping modis data based on surface spectral correlation
会议论文
OAI收割
2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings, Boston, MA, United states, July 6, 2008 - July 11,2008
Wang, Zifeng
;
Chen, Liangfu
;
Gu, Xingfa
;
Yu, Tao
收藏
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浏览/下载:8/0
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提交时间:2014/12/07
Algorithms
Remote sensing
Spectrometers