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bharathaithal when you have just a simple aerial image (ortophoto) with only 3 bands in the visible spectrum (red, green, blue) you have limited possibilities to obtain a detailed and accurete classification. For example, if you don't have at least 1 NIR bad, you can't make a good distinction beetwen a river and a forest, using the traditional pixel-based image classification. It will be a major problem with the spectral mixture, most of the classes will have very similar specral responses, so the best way is to use an Object-based image classification method > eCognition software. Then, using eCognition, you can classify the river using not only it's spectral caracteristics, but also other caracteristics (lenght, widith, area, etc) versus the vegetation, at different levels of image segmentation. So, in conclusion, when you have only a simple aerial photo (3 visible bands) and you want to obtain a detailed classification, you ca't do it without auxiliar information (cadastral maps, LIDAR data, aditional infrared bands), even when you use an Object-based image classification. The traditional pixel-based image classification is excluded from the start for this job ! Good luck!