Automation of Processing Multichannel Remote Sensing Images Based on Performance Prediction

This paper deals with processing of multichannel remote sensing images for which it is difficult and often impossible to carry out any stage of data processing in an interactive manner and, thus, full or, at least, partial automation is needed. Despite of existence of many methods, it is difficult to choose the best or an appropriate one and/or to set its parameters. One reason is that quantitative criteria characterizing efficiency of applicable methods are often unknown, especially for remote sensing data at hand. Thus, it is desirable to have some preliminary prediction of errors or accuracy for data processing methods and to choose a good method and its parameters properly. Here we consider few approaches and describe the results already obtained in recent years.