i try to do an object based supervides image classification and i have some problems.
1. Should i make training data from the image, or from the segmentet raster?
2. I have made training data on sample mananger and done the Analysis Object based, random trees. On the same image as i made the trening samples this work fine, and the classification goes true. But i want to classify anotther image, is this possible? and how? because i only get failed message, that the input raster do not have any features.
Helena
Are you following the recommendations cited in this link?
Understanding segmentation and classification—ArcGIS Pro | Documentation
yes, but i want to make training samples on one image, and then i want to classify another pitchure. in that way a person who know the area could make traning samples in one image, and then someone else can use that treinieng samples to klassify another pitchure where they dont know.
Deep Learning is probably a better approach for what you are trying to do:
An Overview of the Deep Learning Toolset
Using the standard image classification tools, training samples have to be based on the image you want to classify.
Okei, Thank you!