机构

• 长春光学精密机械与物... [9]
• 沈阳自动化研究所 [4]
• 金属研究所 [1]
• 计算技术研究所 [1]
• 光电技术研究所 [1]
• 中国科学院大学 [1]
• 更多

采集方式

• OAI收割 [19]
• iSwitch采集 [1]

内容类型

• 会议论文 [12]
• 期刊论文 [8]

发表日期

• 2020 [1]
• 2018 [2]
• 2016 [2]
• 2015 [1]
• 2014 [1]
• 2011 [1]
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浏览/检索结果: 共20条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 空间外差光谱仪光谱降噪方法研究 期刊论文  OAI收割 应用光学, 2020, 卷号: 41 -   |  收藏  |  浏览/下载：28/0  |  提交时间：2020/10/26 atmospheric monitoring  spatial heterodyne spectrometer  noise reduction  spatial heterodyne spectrum  lifting wavelet transform  大气监测  空间外差光谱仪  降噪  空间外差光谱  提升小波变换   An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform 期刊论文  OAI收割 JOURNAL OF RAMAN SPECTROSCOPY, 2018, 卷号: 49, 期号: 9, 页码: 1529-1539 作者:  Chen, Hao;  Xu, Weiliang;  Broderick, Neil;  Han, Jianda   |  收藏  |  浏览/下载：18/0  |  提交时间：2021/02/02 adaptive denoising  lifting wavelet transform  noise reduction  Raman spectroscopy   An adaptive denoising method for Raman spectroscopy based on lifting wavelet transform 期刊论文  OAI收割 JOURNAL OF RAMAN SPECTROSCOPY, 2018, 卷号: 49, 期号: 9, 页码: 1529-1539 作者:  Han JD(韩建达);  Broderick, Neil;  Xu WL(徐卫良);  Chen, Hao   |  收藏  |  浏览/下载：20/0  |  提交时间：2018/10/08 adaptive denoising  lifting wavelet transform  noise reduction  Raman spectroscopy   Wavelet bi-frames with uniform symmetry 期刊论文  iSwitch采集 Mathematical methods in the applied sciences, 2016, 卷号: 39, 期号: 13, 页码: 3701-3721 作者:  Li, Baobin 收藏  |  浏览/下载：33/0  |  提交时间：2019/05/09 Wavelet bi-frames  Frames  Frame filter banks  Lifting scheme   Real-time Signal Processing for Shipborne FOG Based on Lifting Wavelet Analysis 期刊论文  OAI收割 AER-Advances in Engineering Research: 5th International Conference on Environment, Materials, Chemistry and Power Electronics (EMCPE), 2016, 卷号: 84, 页码: 222-226 作者:  Yi, Bin;  Bao, Qiliang   |  收藏  |  浏览/下载：29/0  |  提交时间：2018/06/14 Lifting Wavelet  Shipborne Fog  Real-time Signal Processing   Improved non-negative tensor Tucker decomposition algorithm for interference hyper-spectral image compression 期刊论文  OAI收割 science china-information sciences, 2015, 卷号: 58, 期号: 5 作者:  Wen Jia;  Zhao JunSuo;  Ma CaiWen;  Wang CaiLing 收藏  |  浏览/下载：62/0  |  提交时间：2015/04/03 interference hyper-spectral images  LASIS  three-dimensional lifting wavelet transform  non-negative tensor decomposition  image compression   自适应提升小波在干涉高光谱压缩中的应用 期刊论文  OAI收割 哈尔滨工业大学学报, 2014, 卷号: 46, 期号: 7, 页码: 112-117 温佳; 马彩文; 赵军锁; 王彩玲   |  收藏  |  浏览/下载：33/0  |  提交时间：2014/12/16 干涉高光谱  LASIS  光谱压缩  提升小波变换  interference hyperspectral image  LASIS  spectrum compression  lifting wavelet transformation   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  |  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. 收藏  |  浏览/下载：28/0  |  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  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  |  浏览/下载：30/0  |  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.