Remote sensing image multi-feature fusion based on NSCT transform and compressive sensing
Zhiliang Wu, Yongdong Huang, Kang Zhang
Available Online May 2017.
- https://doi.org/10.2991/icmeit-17.2017.22How to use a DOI?
- Remote sensing image fusion, NSCT transform, compressive sensing, multi-feature fusion.
- For the remote sensing image fusion algorithm based on non-subsampled Contourlet transform (NSCT) calculation complexity and cannot extract details from source images effectively. So a new remote sensing image multi-feature fusion algorithm based on NSCT transform and compressive sensing is proposed. Firstly, luminance component V of multi-spectral image is extracted via HSV transform, and decompose the luminance component V and PAN image by NSCT; Then, Apply PCNN-based fusion rules to fusing low frequency sub-band, and the equivalent number is utilized as the linking strength; For the high frequency sub-band, a fusion rule based on the multi-feature in compressive sensing domain is presented; Finally, the fused images are obtained by inverse NSCT transform and inverse HSV transform, respectively. The experimental results show that the proposed fusion algorithm substantially outperforms the best-known remote sensing image fusion algorithms in terms of calculation complexity and the quality of the fused image, and has the better performance in visual effect and objective evaluation metrics
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhiliang Wu AU - Yongdong Huang AU - Kang Zhang PY - 2017/05 DA - 2017/05 TI - Remote sensing image multi-feature fusion based on NSCT transform and compressive sensing BT - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017) PB - Atlantis Press SP - 115 EP - 119 SN - 2352-538X UR - https://doi.org/10.2991/icmeit-17.2017.22 DO - https://doi.org/10.2991/icmeit-17.2017.22 ID - Wu2017/05 ER -