An Zhenyu, Shi Zhenwei. Hyperspectral image fusion via sc-NMF[J]. Infrared and Laser Engineering, 2013, 42(10): 2718-2723.
| Citation:
|
An Zhenyu, Shi Zhenwei. Hyperspectral image fusion via sc-NMF[J]. Infrared and Laser Engineering, 2013, 42(10): 2718-2723.
|
Hyperspectral image fusion via sc-NMF
- 1.
Image Processing Center,School of Astronautics,Beihang University,Beijing 100191,China
- Received Date: 2013-02-20
- Rev Recd Date:
2013-03-07
- Publish Date:
2013-10-25
-
Abstract
The fusion of hyperspectral image (HSI) and panchromatic image (PI) is a crucial and useful technique. The fused image possesses good spatial and spectral quality, and it is very helpful for the follow-up image processing. By using spectral constrained express, the traditional NMF (nonnegative matrix factorization) was improved, and used it in the hyperspectral image fusion. Firstly, the hyperspectral image was decomposed into basis and weight, then the details of hyperspectral image were sharpened by enhancing the details of the basis with high resolution image. Meanwhile, a spectral constraint function was added in the model to preserve the spectral information. Therefore, the fused image obtained by the proposed fusion model possesses good spatial and spectral information at the same time. At last, the experiments on simulated and real data were done with conventional and the proposed methods. The proposed method behaves better both in visual and objective indices, indicating it is a better choice for HSI fusion.
-
References
|
[1]
|
Shi Zhenwei, Wu Jun, Yang Shuo, et al. RX and its variants for anomaly detection in hyperspectral images [J]. Infrared and Laser Engineering, 2012, 41(3): 796-802. (in Chinese) 史振威, 吴俊, 杨硕, 等. RX 及其变种在高光谱图像中的 异常检测[J]. 红外与激光工程, 2012, 41(3): 796-802. |
|
[2]
|
|
|
[3]
|
|
|
[4]
|
Schowengerdt R A. Reconstruction of multi-spatial, multi-spectral image data using spatial frequency content Photogramm[J]. Eng Remote Sens, 1980, 46(10): 1325-1334. |
|
[5]
|
Rahmani S, Strait M, Merkurjev D, et al. An adaptive IHS Pan-Sharpening method [J]. IEEE Trans Geosci Rem Sens, 2010, 7(4): 746-750. |
|
[6]
|
|
|
[7]
|
Ranchin T, Wald L. Fusion of high spatial and spectral resolution images: The ARSIS concept and its implementation [J]. Photogramm Eng Remote Sens, 2000, 66(1): 49-61. |
|
[8]
|
|
|
[9]
|
Shi Zhenwei, An Zhenyu, Jiang Zhiguo. Hyperspectral image fusion by the similarity measure-based variational method[J]. Opt Eng, 2011, 50(7): 077006. |
|
[10]
|
|
|
[11]
|
|
|
[12]
|
Mao Haicen, Liu Aidong. Image fusion method based on evidence theory [J]. Infrared and Laser Engineering, 2013, 42(6): 1642-1646. (in Chinese) 毛海岑, 刘爱东. 利用证据理论的图像融合方法[J]. 红外 与激光工程, 2013, 42(6): 1642-1646. |
|
[13]
|
|
|
[14]
|
Khan M M, Chanussot J, Alparone L. Pansharpening of hypersepctral images using spatial distortion optimization[C]// Int Conf on Image Processing, 2009: 2853-2856. |
|
[15]
|
|
|
[16]
|
Miao Qiguang, Wang Baoshu. Multi-focus image fusion based on non-negative matrix factorization [J]. Acta Optica Sinica, 2005, 25(6): 755-759. (in Chinese) 苗启广, 王宝树. 基于非负矩阵分解的多聚焦图像融合研 究[J]. 光学学报, 2005, 25(6): 755-759. |
|
[17]
|
|
|
[18]
|
Lee Daniel D, Seung H S. Learning the parts of objects by non-negative matrix factorization[J]. Nature, 1999, 401(6755): 789-795. |
|
[19]
|
Yu Xianchuan, Pei Wenjing. Performance evaluation of image fusion quality metrics for the quality of different fusion methods[J]. Infrared and Laser Engineering, 2012, 41(12): 3416-3422. (in Chinese) 余先川, 裴文静. 针对不同融合算法的质量评价指标性能 评估[J]. 红外与激光工程, 2012, 41(12): 3416-3422. |
-
-
Proportional views
-
DownLoad: