What is the standard way to handle images of different sizes for classification?
Not sure about your specific application, but the Viola Jones face detection algorithm successively scans the candidate picture for faces in all possible sizes.

I.e., the algorithm search space is both the object (face) location and its size. The beauty of VJ's "cascade architecture" is that it rejects most hypotheses quickly, thus making the search feasible in real-time.