Publication

Abstract : The images from the Earth Observation (EO) sensors can be classified as panchromatic (PAN) and multispectral (MS) based on spectral bands. The MS bands have lower spatial resolution than PAN which makes the fusion of these bands aka pan-sharpening important. Here, different multi-resolution analysis (MRA) techniques are used for pan-sharpening. The results are compared using six different evaluation metrics such as correlation coefficient (CC), standard deviation (SD), peak-signal to noise ratio (PSNR), root mean square error (RMSE), spectral angle mapper (SAM), and erreur relative globale adimensionnelle de synth’ese (ERGAS). Though CC, SD, and RMSE are almost similar for all the methods, Haar has the highest PSNR, and Coiflet has the lowest SAM and ERGAS value.