Detection of compound structures using clustering of statistical and structural features
2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28194
We describe a new method for detecting compound structures in images by combining the statistical and structural characteristics of simple primitive objects. A graph is constructed by assigning the primitive objects to its vertices, and connecting potentially related objects using edges. Statistical information that is modeled using spectral, shape, and position data of individual objects as well as the structural information that is modeled in terms of spatial alignments of neighboring object groups are also encoded in this graph. Experiments using WorldView-2 data show that hierarchical clustering of the graph vertices can discover high-level compound structures that cannot be obtained using traditional techniques. © 2012 IEEE.
Showing items related by title, author, creator and subject.
Preparation, surface state and band structure studies of SrTi (1-X)Fe (x)O (3-δ) (x = 0-1) perovskite-type nano structure by X-ray and ultraviolet photoelectron spectroscopy Ghaffari, M.; Shannon, M.; Hui H.; Tan O.K.; Irannejad, A. (2012)In this report, SrTi (1 - x)Fe (x)O (3 - δ) photocatalyst powder was synthesized by a high temperature solid state reaction method. The morphology, crystalline structures of obtained samples, was characterized by X-ray ...
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, ...
Simsek, S.; Mamedov, A.M.; Ozbay, E. (IEEE Computer Society, 2013)In this report, we present an investigation of the optical properties and band structure calculations for the photonic crystal structures (PCs) based on one-dimensional (1D) and two-dimensional (2D) ferroelectric LiNbO3 ...