中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [2]
遥感与数字地球研究所 [1]
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OAI收割 [3]
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会议论文 [3]
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2011 [1]
2010 [1]
2007 [1]
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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:
收藏
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浏览/下载:22/0
  |  
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.
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.
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浏览/下载:29/0
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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.
A wavelet based targets detection method for high resolution airborne SAR data
会议论文
OAI收割
Igarss: 2007 Ieee International Geoscience and Remote Sensing Symposium, Vols 1-12: Sensing and Understanding Our Planet, New York
Tian, Sirui
;
Wang, Chao
;
Zhang, Hong
;
Zhang, Bo
;
Wu, Fan
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浏览/下载:14/0
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提交时间:2014/12/07
targets detection
RC-CFAR detector
improved wavelet soft-threshold
de-noise