Detected features are objects from one or more classes and are the result of a comprehensive (and mostly automatic or semi-automated) search of all locations in an image that decides whether such features are present and where they are located. Examples inculde man-made objects (e.g. vehicles, ships, buildings, etc.) with sharp boundaries and are independent from the background, and landscape objects, such as land-use/land-cover (LULC) parcels that have vague boundaries and are part of the background environment. Only the latter type would locate features for all locations of an image.