Acoustic Resonance Classification of Swimbladder-Bearing Fish at Multiple Scales

2012 ◽  
Author(s):  
Timothy K. Stanton ◽  
J. M. Jech ◽  
Roger C. Gauss
2013 ◽  
Author(s):  
Timothy K. Stanton ◽  
J. M. Jech ◽  
Roger C. Gauss

2011 ◽  
Author(s):  
Timothy K. Stanton ◽  
J. M. Jech ◽  
Roger C. Gauss

2010 ◽  
Author(s):  
Timothy K. Stanton ◽  
J. M. Jech ◽  
Roger C. Gauss

2014 ◽  
Vol 580-583 ◽  
pp. 2853-2859
Author(s):  
Peng Li Li ◽  
Wei Ping Ti ◽  
Jia Chun Li

Due to the broadly application of remote sensing imagery, there is an eager need for the classification of objects in the images. The multi-scale classification based on object oriented analysis is not a usual approach for image classification because the users of multi-scale classification do not know how to use the information from multiple scales to do multi-scale classification. Many users rely on some easily accessible tools. nearest neighbour classifier, to do multi-scale classification. The multi-scale classification classifies the images from different scales. The feature values of the object vary from different scales and they may have some trends against scales. These trends may help us to understand multi-scale classification better. This is the scale dependency of features. The difference between multi-scale classification and single-scale classification is not only multiple scales, but also the use of information from different scales. In order to explore the connection between different scales, the research of new features is necessary.


2007 ◽  
Author(s):  
Timothy K. Stanton ◽  
Dezhang Chu ◽  
J. M. Jech
Keyword(s):  

2010 ◽  
Author(s):  
Timothy K. Stanton ◽  
Dezhang Chu
Keyword(s):  

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