IMAGE FUSION FOR RESOLUTION IMPROVEMENT
OF MULTISPECTRAL SATELLITE IMAGES
This paper presents a comparative study concerning the techniques of image fusion that aim at the improvement of the spatial resolution of multispectral satellite images for remote sensing applications. Three methods are used, Hue-Saturation-Intensity color transform (HSI), Principal Component Analysis (PCA), and Brovey technique. Two datasets of two satellites having different resolution and different resolution ratio are used, LANDSAT7 and IKONOS. The measurement of Trade-Off-Value, which is a measure of the degree of resolution improvement and spectral property preservation, is used to evaluate the given methods. The results have shown the superiority of the Brovey method for the LANDSAT7 dataset and the superiority of HSI for the IKONOS dataset.
Keywords: image fusion, remote sensing, Hue-Saturation-Intensity transform (HSI), Principal Component Analysis (PCA), Brovey technique
Cuvinte cheie: fuziune a imaginii, teledetecție, transformare a culorii nuanță-saturație-intensitate transformata (HSI), Analiza componentei principale (PCA), tehnica Brovey