Multi-Sensor Fusion of SDGSAT-1 Thermal Infrared and Multispectral Images

Thermal infrared imagery plays an important role in a variety of fields, such as surface temperature inversion and urban heat island effect analysis, but the spatial resolution has severely restricted potential for further applications. Data fusion is defined data combination using multiple sensors, fused information often better results than when sensors are used alone. Since multi-resolution analysis considered effective method image fusion, we propose MTF-GLP-TAM model to combine thermal (30 m) multispectral (10 SDGSAT-1. Firstly, most relevant bands found. Secondly, obtain performance, high-resolution histogram-matched with each band. Finally, details injected into MTF Gaussian filter additive injection model. Despite lack spectral overlap between bands, improves while maintaining properties shown by subjective objective experimental analyses.