Image classification is a key area of machine-learning-based image analysis. It involves training algorithms to recognize and categorize images into predefined classes. For example, in satellite imagery, it can distinguish between different land-cover types like forests, urban areas, and water bodies. In medical imaging, it can identify normal and abnormal tissue. ArcGIS Pro offers various classifiers such as random trees, support vector machine (SVM), iso cluster, and maximum likelihood, supporting both supervised (using training samples) and unsupervised (analyzing data patterns) classification workflows.
