Weighting Parameters to Improve IHS Transformation in Data Fusion of THEOS Imagery
Satith Sangpradid, Sunya Sarapirome
Journal of Digital Information Management, Vol. 12, No. 6, 2014.
DOI: 
Link: http://dline.info/fpaper/jdim/v12i6/1.pdf
Abstract:
To efficiently fuse multi-spectral (MS) and
panchromatic (PAN) images acquired from THEOS
satellite, the authors offer proper parameters to improve IHS fusion technique based on its spectral responsivity. This concept was originally contributed by Tu et al., applied
to IKONOS image fusion. Red and NIR bands of THEOS
imagery with lower response were adjusted to be higher and close to the response of PAN band using those new proposed parameters. Indexes including the correlation coefficients (CCs), relative dimensionless global error in
synthesis (ERGAS), and relative average spectral error (RASE) of the pan-sharpened and MS images were compared to quantitatively evaluate the quality of pansharpened images. The resulting indexes indicate that the quality of pan-sharpened images obtained from the
study be obviously high. Indexes from images transformed by the method of Tu et al. were compared to the indexes obtained from the study as well. The comparison expresses that indexes resulted from the study are better than ones using the method of Tu et al. It can confirm that
the fusion method based on the concept of adjustment on spectral responsivity of specific sensor is valid. The new approach provides a satisfactory result of image fusion, both visually and quantitatively.