Fusion and shape retrieval of area target based on sparse sampling

The paper introduces the image moments and deduced shape factors into the fusion and shape retrieval of area target based on sparse sampling of boundary. The fusing rules for area target is established and a merging algorithm of sampling series used for shape retrieval is given. Simulation of fusion...

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Bibliographische Detailangaben
Hauptverfasser:	LIAO, Zhoubao, LIU, Zhao
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Covariance matrix Educational institutions Eigenvalues and eigenfunctions Exact sciences and technology Image retrieval Image sampling Information, signal and communications theory Merging Paper technology Reconnaissance Sampling methods Sampling, quantization Shape Signal and communications theory Telecommunications and information theory
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Beschreibung
Zusammenfassung:	The paper introduces the image moments and deduced shape factors into the fusion and shape retrieval of area target based on sparse sampling of boundary. The fusing rules for area target is established and a merging algorithm of sampling series used for shape retrieval is given. Simulation of fusion and retrieval shows that our rules and algorithm are effective and feasible.
DOI:	10.1109/ICOSP.2004.1442286