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Cloud Detection Algorithm for Multi-Satellite Remote Sensing Imagery Based on a Spectral Library and 1D Convolutional Neural Network 期刊论文  OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 16, 页码: 20
作者:  
Ma, Nan;  Sun, Lin;  Zhou, Chenghu;  He, Yawen
  |  收藏  |  浏览/下载:41/0  |  提交时间:2021/11/05
A New Data Transformation Method for Cbers-02b Multi-spectral Images 会议论文  OAI收割
Bangkok, THAILAND, September 30, 2011 - October 1, 2011
Zhang, Chengwen; Tang, Jiakui; Mi, Sujuan; Zhao, Lijun; Li, Yongzhi; Yu, Xinju
  |  收藏  |  浏览/下载:33/0  |  提交时间:2013/03/11
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:35/0  |  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.  
Using multi-spectral remote sensing data to extract and analyze the vegetation information in desert areas - A case in the western Gurbantunggut desert 会议论文  OAI收割
Proceedings-2009 International Conference on Environmental Science and Information Application Technology, ESIAT, Wuhan, China, 2009
Zhao; Huai-Bao1; Liu; Tong2; Cui; Yao-Ping3; Lei; Jia-Qiang1
收藏  |  浏览/下载:32/0  |  提交时间:2011/08/23
Using synthetic variable ratio method to fuse multi-source remotely sensed images based on sensor spectral response 会议论文  OAI收割
2008 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Boston, MA, United states, 2008
Chen; Sheng1; Luo; Jiancheng1; Shen; Zhanfeng1; Geping2; Zhu; Changrning2
收藏  |  浏览/下载:30/0  |  提交时间:2011/08/23
基于数字高程模型(DEM)与多光谱图像的地物分析 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2005
作者:  
吴刚
收藏  |  浏览/下载:233/0  |  提交时间:2015/09/02