Detection of compound structures using multiple hierarchical segmentations
International Geoscience and Remote Sensing Symposium (IGARSS)
6833 - 6836
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28123
In this paper, our aim is to discover compound structures comprised of regions obtained from hierarchical segmentations of multiple spectral bands. A region adjacency graph is constructed by representing regions as vertices and connecting these vertices that are spatially close by edges. Then, dissimilarities between neighboring vertices are computed using statistical and structural features, and are assigned as edge weights. Finally, the compound structures are detected by extracting the connected components of the graph whose edges with relatively large weights are removed. Experiments using WorldView-2 images show that grouping of these vertices according to different criteria can extract high-level compound structures that cannot be obtained using traditional techniques. © 2012 IEEE.
Showing items related by title, author, creator and subject.
Sinop, A.; Abacı, T.; Akkuş Ü.; Gürsoy, A.; Güdükbay, U. (Springer, 2005)In this paper, we present a parallel system called PHR for computing hierarchical radiosity solutions of complex scenes. The system is targeted for multi-processor architectures with distributed memory. The system evaluates ...
Detection of compound structures using hierarchical clustering of statistical and structural features Akçay H.G.; Aksoy, S. (2011)We describe a new procedure that combines statistical and structural characteristics of simple primitive objects to discover compound structures in images. The statistical information that is modeled using spectral, shape, ...
Dükkanci O.; Kara, B.Y. (Airline Group of the International Federation of Operations Research Societies (AGIFORS), 2014)Hubs are facilities that consolidate and disseminate flow in many-to-many distribution systems. The hub location problem considers decisions that include the locations of hubs in a network and also the allocations of the ...