DocumentCode :
2161458
Title :
A New Model on Detecting Target Strength: Surface Segmentation and Integral
Author :
Li, Xiaomin ; Yan, Jin ; Ma, Xiaochuan ; Yang, Jun
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Nowadays, observing target echo is becoming a very important way of detecting target. Among various kinds of characteristics about target echo to be measured, target strength can be got easily. In this paper, we introduce a model building of detecting the strength of target echo: segment the target surface into a lot of surface elements and then integral about them. With this model, we can calculate target strength on condition of various target shapes and receive distances. Theoretically, scattering sound field depends on directivity of incident sound source, target surface shape, distance between target and sound field, reflecting coefficient and so on. In this paper, in order to focus on surface segmentation and integral, the effect of directivity of sound source will be ignored, while the reflecting coefficient will be assumed to be one. We will consider these two aspects on detecting target strength in subsequent research. It is well known that target strength of rotary and column have lobes in certain direction, meanwhile, the farther between target and receiver, the fiercer target echo we can detecting because of the increase numbers of reflecting elements. As showing in the following experiments, the proposed model can perform the same with transcendental studies.
Keywords :
image segmentation; object detection; incident sound source; integral; receive distances; surface segmentation; target echo; target shapes; target strength detection; target surface shape; Acoustic emission; Acoustic measurements; Acoustic scattering; Acoustic signal detection; Brain modeling; Green´s function methods; Integral equations; Shape; Transfer functions; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5304321
Filename :
5304321
Link To Document :
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