**A SpatialȬEnhanced LSEȬSFIM Algorithm for Hyperspectral and Multispectral Images Fusion**

**Yulei Wang 1,2, Qingyu Zhu 1, Yao Shi 1, Meiping Song 1,\* and Chunyan Yu <sup>1</sup>**


This paper developed a spatial, filter-based, least squares estimation (LSE)-smoothing filter-based intensity modulation (SFIM) algorithm to fuse a hyperspectral image (HSI) and a multispectral image (MSI). It first combines the LSE algorithm with the SFIM method to effectively improve the spatial information quality of the fused image. At the same time, in order to better maintain the spatial information, four spatial filters (mean, median, nearest, and bilinear) were used for the simulated MSI image to extract fine spatial information. Experimental results of three HSI-MSI data sets using six image quality indexes showed the effectiveness of the proposed algorithm compared with three state-of-the-art HSI-MSI fusion algorithms (CNMF, HySure, and FUSE), while the computing time was much shorter.

#### IV. **Mid-wave infrared hyperspectral imaging (two papers)**

remotesensingȬ12Ȭ01860
