Abstract
A radiometric normalization procedure utilizing the soil line concept is developed and tested. The routine, referredto as the soil line transformation (SLT) technique, is developed to provide a system for transforming multitemporal imagesto a common reference scene. The routine involves developing soil lines not only for the bare soil images, but also for imageswith vegetative cover, assuming that some pixels within the entire image would represent bare soil conditions orpseudoinvariant features. The procedure uses the soil lines developed for the imagetobetransformed and the referenceimage to form transforming equations using pixels within a specified interval of both soil lines. In this research, the SLTtechnique is evaluated using multitemporal images of crop development. Digital aerial images of two corn (Zea mays L.)fields are used to test the SLT routine based on expected change in pixel intensity due to crop development. The SLT techniqueis also compared against an alternative histogram matching technique based on the percentage of pixels matching theexpected growth pattern away from the soil line. For two fields over two growing seasons, the SLT technique outperformedhistogram matching, resulting in at least 87% of pixels demonstrating the expected growth pattern between the images.
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