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The Role of Root-Mean-Square Error in the Geo-Transformation of Images in GIS

ABSTRACT There is growing interest in the use of images in GIS applications. This paper examines the role of root-mean-square error in assessing the accuracy of digitisation and image–to–world transformation, The study employed Arc/Info software, using an aerial photograph of a small coastal settlement as the base image. The transformed image was overlayed onto a calibrated digital cadastre of the town to evaluate (visually) the geometric integrity of the image rectification. While not dismissing the relevance of rms error in the statistical appraisal of data quality in GIS, the study failed to confirm a workable association between rms error and the quality of image transformation. No apparent improvement in the quality of image transformation was achieved as a result of reducing rms error directly, by eliminating the control points with high residual error.