This tutorial provides an introduction to different methods of change detection for remote sensing image analysis and classification. It also demonstrates comparing a number of machine learning classifiers. Worksheet (RSGISLib_ImgClass_ChangeDetection.pdf) Datasets (RSGISLib_ChangeClassification_Training.zip)
We’ve written a plugin for QGIS which allows the accuracy of classification to be assessed in an efficient manner. For information on how to use the plugin and follow the tutorial in the worksheet below: Worksheet (ClassAccuracyQGISPluginTutorial.pdf) Example Dataset for Worksheet (ClassAccuracyExample.zip) The latest version of the plugin can be download from the bitbucket repository.
Updated during January 2018, this tutorial provides an introduction to the Remote Sensing and GIS Software library. The tutorial includes: Image band maths Create python command line tools Using the python multi-processing library Per-pixel based image classification Object Base image classification Image segmentation The tutorial using ALOS PALSAR and Landsat Image. The documents can be […]