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
fDate :
31 Aug.-4 Sept. 2004
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;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1442286
