Remote Sensing Image Fusion Based on Integer Wavelet Transformation and Ordered Nonnegative Independent Component Analysis
Remote Sensing Image Fusion Based on Integer Wavelet Transformation and Ordered Nonnegative Independent Component Analysis
复制标题
基于整数小波变换和有序非负独立分量分析的遥感图像融合
DOI:
10.2747/1548-1603.49.3.364
复制
发表时间:
2012-05
影响因子:
6.7
通讯作者:
Pei Wen-jing
中科院分区:
文献类型:
--
作者:
Yu Xian-chuan;Ni Feng;Long Si-liang;Pei Wen-jing
A novel remote sensing image fusion method is proposed based on integer wavelet transformation and ordered nonnegative independent component analysis (IWT-ONICA) to take advantage of the IWT characteristics of multi-resolution and high-speed computation and the fact that independent component analysis can remove higher-order redundancy. The proposed method is applied to the fusion of IKONOS satellite images. Statistical and visual results show that IWT-ONICA is superior to other fusion algorithms in terms of clarity and visual effect, while evaluation indicators such as the peak signal-to-noise ratio, correlation coefficient, spectral angle mapper, and relative dimensionless global error confirm its superior performance.
登录
查看更多内容
DOI:
10.1109/igarss.2005.1525776
发表时间:
2005-07
期刊:
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.
影响因子:
--
作者:
Shuyi Zhang;Pinqing Wang;Xianyao Chen;Xi Zhang
通讯作者:
Shuyi Zhang;Pinqing Wang;Xianyao Chen;Xi Zhang
DOI:
10.1109/tgrs.2004.825593
发表时间:
2004-06-01
影响因子:
8.2
作者:
González-Audícana, M;Saleta, JL;García, R
通讯作者:
García, R
影响因子:
1.2
作者:
Daubechies, I;Sweldens, W
通讯作者:
Sweldens, W
DOI:
10.1109/icassp.1999.757516
发表时间:
1999-03
期刊:
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)
影响因子:
--
作者:
Chengjiang Lin;Bo Zhang;Yuan F. Zheng
通讯作者:
Chengjiang Lin;Bo Zhang;Yuan F. Zheng
DOI:
10.1109/icma.2005.1626836
发表时间:
2005-07
期刊:
IEEE International Conference Mechatronics and Automation, 2005
影响因子:
--
作者:
Jin Wu;Honglin Huang;Ya Qiu;Huaiyu Wu;J. Tian;Jian Liu
通讯作者:
Jin Wu;Honglin Huang;Ya Qiu;Huaiyu Wu;J. Tian;Jian Liu