DocumentCode
3028463
Title
Image Target Detection Using Morphological Neural Network
Author
Song Cheng-tian ; Wang Ke-yong
Author_Institution
State Key Labortory of Mechatronical Eng. & Control, Beijing Inst. of Technol., Beijing, China
Volume
1
fYear
2009
fDate
11-14 Dec. 2009
Firstpage
234
Lastpage
236
Abstract
It is known that detecting small targets in remotely sensed image is difficult and challenging work. Filter neural network is designed to detect target which based morphological, structure element is used as network parameter, by competition and cooperation, network parameter is adjusted. Morphologic changed-weight neural network algorithm is used to realize small infrared target detection under complex background. Experimental results of using the above detector to detect real infrared targets are also included. These results demonstrate that the new detector yields a promising solution for the detection problems of small targets.
Keywords
mathematical morphology; neural nets; object detection; Image target detection; detecting small targets; filter neural network; morphologic changed weight; morphological neural network; new detector yields; promising solution detection problems; real infrared targets; remotely sensed image; small infrared target detection; Computational intelligence; Filtering; Image processing; Infrared detectors; Morphology; Neural networks; Object detection; Shape measurement; Target recognition; Wavelet analysis; Morphologcial; Neural Network; Target Detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5411-2
Type
conf
DOI
10.1109/CIS.2009.259
Filename
5376623
Link To Document