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Comparison with Standard as an Efficiency Evaluation Approach for the Forced Invariance Method

The Forced Invariance Method (FIM) is a vegetation suppression algorithm for multispectral images which is of great interest since it uses statistics collected only from the pixels of the image itself. Due to this a priori spectral characteristics of the captured objects are not required. For using the FIM or its modification in practice it is necessary to have some way to evaluate algorithm efficiency in order to analyze the results of experiments. This paper presents the method designed to solve this problem.
Presumably, it is suitable for evaluating various algorithms, such as those designed to suppress vegetation. The proposed method is based on the idea of comparing a processed image with its standard using the similarity measure.