DocumentCode
3361636
Title
Fusion and shape retrieval of area target based on sparse sampling
Author
Zhoubao, Liao ; Zhao, Liu
Author_Institution
Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
3
fYear
2004
fDate
31 Aug.-4 Sept. 2004
Firstpage
2489
Abstract
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.
Keywords
image retrieval; image sampling; sensor fusion; area target fusion; area target shape retrieval; deduced shape factor; image moment; merging algorithm; sampling series; sparse sampling; Covariance matrix; Educational institutions; Eigenvalues and eigenfunctions; Image retrieval; Image sampling; Merging; Paper technology; Reconnaissance; Sampling methods; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN
0-7803-8406-7
Type
conf
DOI
10.1109/ICOSP.2004.1442286
Filename
1442286
Link To Document