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The merging of multisource remotely sensed data has become a widely used technique to take advantage of complementary data sets in image interpretation. A fundamental problem in its application is how the transformations between perceptual and display device dependent color spaces are implemented in addressing the attributes of human color perception intensity (I), hue (H), and saturation (S) in an optimal and unambiguous manner. This paper presents a method that preserves the spectral balance of the multispectral image data and modulates the IHS coordinates uniformly. This method takes the limits in the representation of color of the display device into account, which aids in compromising the amount and spatial distribution of over-range pixels against contrast in intensity and saturation. Two processing examples are provided to illustrate the advantages of this method for geological mapping. In the first example, Landsat ™ bands 7, 3, and 1 are integrated with an aerial photograph to map lithological units in metamorphic basement and its sedimentary cover. In the second example, K, eTh, and eU gamma-ray spectrometry and Landsat ™ data are integrated to map compositional and structural patterns within a granite batholith. [ABSTRACT FROM AUTHOR]