Batch classification

By running a batch classification, you can run classification simultaneously on a group or collection of images with similar qualities of acquisition. The collection can be any aerial, satellite, or SAR imagery you want classify similarly, such as, but not limited to the following:

Airphotos (strips or individual images)
Stack of historical imagery
Overlapping images
Contiguous images

You first run classification on an individual image that you want to use as reference for the batch you want to process. After you are satisfied with the results, you can run a batch classification on several images to apply the same classification to each. The batch classification applies a segmentation step, an attribute-calculation step, an SVM-classification step (based on the training-model file you create from the first individual image you classified), and any number of rule-based classification steps.