Lab 7: Object-based Classification
Background The goal of this lab is to learn and utilize eCognition, a state of the art object-based processing tool. First homogeneous spatial and spectral clusters are produced over the image or known as objects. a random forest and support vector machine classifiers will be used which require training samples. Finally an output will be produced showing the newly classified image. Methods First a project was created in eCognition, then objects need to be created on the image, this is done through the process tree utilizing multiresolution segmentation, with a scale parameter of 9. This produced the objects shown in figure 1 and 2. Finally training samples are taken to be put in the process tree. this trains the classifier. Figure 1: This shows a mess of blue over the image, but thwese are all polygons that contain similar pixels. Figure 2: This image shows a zoomed in section of figure 1, this allows the actual polygons to be seen. Next the same process was performed...