Sparse Representation for Infrared Dim Target Detection via a Discriminative Over-Complete Dictionary Learned Online

Sparse Representation for Infrared Dim Target Detection via a Discriminative Over-Complete Dictionary Learned Online

It is difficult for structural over-complete dictionaries such as the Gabor function and discriminative over-complete dictionary, which are learned offline and classified manually, to represent natural images with the goal of ideal sparseness and to enhance the difference between background clutter...

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Bibliographic Details
Main Authors: Zheng-Zhou Li, Jing Chen, Qian Hou, Hong-Xia Fu, Zhen Dai, Gang Jin, Ru-Zhang Li, Chang-Ju Liu
Format: Article
Language:English
Published: MDPI AG 2014-05-01
Series:Sensors
Subjects:
dim target detection
adaptive morphological over-compete dictionary
discriminative over-complete dictionary
Gaussian over-complete dictionary
sparsity
Online Access:http://www.mdpi.com/1424-8220/14/6/9451

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http://www.mdpi.com/1424-8220/14/6/9451

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