"Image segmentation is a key component to object-based classification. Segmentation is a process by which pixels in an image are grouped into segments, objects or features, that have similar spectral and spatial characteristics. Each of these objects or features contain multiple pixels. The segments in the image ideally correspond to real-world features, for example buildings or tree crowns. There are a variety of different parameters that are used in segmentation. The scale of the objects or features is one of the important variables in the image segmentation process. The scale sets the minimum number of pixels that must be contained in a group for it to be a separate segment or object" (Humboldt State University n.d.).
Humboldt State University. n.d. “Object-Based Classification.” GSP 216. Accessed May 12, 2021. http://gsp.humboldt.edu/OLM/Courses/GSP_216_Online/lesson6-1/object.html.