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
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;
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
DOI :
10.1109/CIS.2009.259