A comparative analysis of data fusion techniques based on Landsat TM and ALOS PALSAR data

Image fusion is a technique to get a high spatial resolution and multispectral image. In this paper, we base on PLASAR data with high spatial resolution and TM data with multi-spectral to explore the fusion methods for multi-sensor data. Five fusion methods are compared for image fusion to show their ability to fuse multi-sensor image data. A series of statistical analysis and visual inspection are used to evaluate the quality of fused images, which take spectral characteristics preservation and spatial information improvement into consideration. The result shows that the HPF fusion is superior to the other test algorithms, and also provides a higher quality of image data.