Monday, August 3, 2015
Day 14: Thursday, July 23, 2015
I have been experimenting with the Parallelepiped Classification unsupervised classification system. It takes a while to classify every pixel in the image, so I used a subset of the image (similar to cropping a photo) and processed the spatial subset--fewer pixels to classify means the classification system finishes sooner. However, the Parallelepiped Classification Software does not seem to work properly. It often incorrectly classifies pixels and covers the majority of an image with a single pixel type. It is possible that this error could be caused by the ROIs I chose, which may be contaminated by non-ROI data (for instance, a building and a tree in the same pixel, but classified as a building).