METHODOLOGY FOR DIGITAL IMAGE FUSION BASED ON COLLINEARITY EQUATIONS
satellite, Mathematics, images, Remote Sensing, image fusion
This work deals with the application of Mathematics as fundamental tool for processing of images captured by satellite. In these terms, the objective of this work was to develop a free software that could carry out image fusion process via the IHS fusion method. Such software, implemented in C / C ++, was based on image rectification algorithm that incorporates collinearity equations (Projective Geometry). Therefore, changes were made in the referred algorithm and in collinearity equations in order to generate the referred software. In this case, the modified image rectification algorithm was used as a multispectral image resampling tool. The input images were from the Sino-Brazilian satellite CBERS 4. Multispectral images (R, G and B) from the MUX sensor - Regular Multispectral Camera, with 20 m spatial resolution, and panchromatic image from the PAN sensor - Multispectral and Panchromatic Camera, with a spatial resolution of 5 m, were used. Using the QGIS software, two cutouts were made on CBERS 4 images. The cutouts were used in tests and related to the regions of Ilha Solteira and Engenheiro Souza Dias (Jupiá) reservoirs, located between the states of São Paulo and Mato Grosso do Sul. The results (fused images), after being submitted through the contrast enhancement process, are defined as satisfactory, indicating research success.