Multi-resolution spatial incorporation for MODIS and LANDSAT image fusion using CSSTARFM

The remote sensing applications require superior of spatial resolution because of the cloud interference and the low temporal resolution. To solve this issue, a novel image fusion system is been proposed in view of a multi-resolution and spatially synthesized. The principle goal of this study is to create Landsat-like engineered information with the fine spatial resolution of Landsat Enhanced Thematic Mapper plus (Landsat ETM+) information and the high fleeting determination of Moderate Resolution Imaging Spectra radiometer (MODIS) information. For the usage of the above approach, we utilized a strategy CSSTARFM (Clustering spectra spatial temporal and spatial reflectance fusion model) in which linear-regression technique was utilized to evaluate the various impacts in sensor frameworks. To alter the spatial variation in surface reflectance a weighted linear blended model was used. The proposed procedure yields a composite image with the spatial resolution of the higher resolution image while holding the spatial and temporal qualities of the medium spatial determination image.