Moreover, it enables this information to be retained in a raster form. The mini-rasters store full spatial information about all defined objects within the image in a way that allows us to determine individual object attributes (such as area, perimeter and shape characteristics) and to establish relationships (such as containment and adjacency) between small groups of objects, as required. The mini-raster, together with other relevant details relating to the object, is stored in working memory, in a structure resembling the frame data structure commonly used in knowledge-based systems. This mini-raster is created by extracting that part of the segmented image contained within the bounding rectangle of the object and using it to create a binary mask defining the precise spatial extent of the object, with a 1 representing a pixel within the bounding rectangle which belongs to the specified object and a 0 representing a pixel which does not.

An image is divided into spatial objects using an appropriate segmentation technique then each object is represented by its own miniature raster. School of Computing, University of TasmaniaĮmail: paper describes the design and implementation of a spatial data structure, called the 'mini-raster', which uses a raster-based technique to represent individual objects depicted in satellite images. The Mini-Raster A Mini-Raster Data Structure for Representing and Reasoning with Spatial Objects in Satellite ImagesĪrtificial Intelligence and Spatial Systems Research Group,

Raster data structure