If the source classification image contains more class labels than the target classification image, it is possible that the mapping will be incorrect when ground truth labels are ignored.
For example, suppose we have class maps A (source) and B (destination), where A contains more class labels than B. Suppose that class 15 from A is mapped to to class 3 in B. After all of the overlaps between the two images have been exhausted, if class 3 from A has not been mapped (there are no remaining pixels of commonality), then it will retain its class value in the remapped image. The result is that the remapped image will have class values of 3 that correspond to both classes 15 (correctly) and 3 (incorrectly) from the source image.
If the source classification image contains more class labels than the target classification image, it is possible that the mapping will be incorrect when ground truth labels are ignored.
For example, suppose we have class maps
A(source) andB(destination), whereAcontains more class labels thanB. Suppose that class 15 fromAis mapped to to class 3 inB. After all of the overlaps between the two images have been exhausted, if class 3 fromAhas not been mapped (there are no remaining pixels of commonality), then it will retain its class value in the remapped image. The result is that the remapped image will have class values of 3 that correspond to both classes 15 (correctly) and 3 (incorrectly) from the source image.