Title :
Remote sensing image fusion for dim target detection
Author :
Zanxia Qiang ; Xianfeng Du ; Liwu Sun
Author_Institution :
Sch. of Comput. Sci., Zhongyuan Univ. of Technol., Zhengzhou, China
Abstract :
In order to resolve the problem of dim target detection, a novel approach based on image fusion and mathematical morphology was proposed. First, the characteristics of steerable pyramid were described. Second, the original images were fused using steerable pyramid transform technique based on effective fusion scheme. The targets can be enhanced and clearer in fused image. Finally, mathematical morphology method was applied to detect the target based on the fused image. The experimental results show that the effect of our method is satisfactory.
Keywords :
geophysical image processing; image fusion; object detection; remote sensing; dim target detection; mathematical morphology; remote sensing image fusion; steerable pyramid transform technique; Approximation methods; Band pass filters; Image fusion; Morphology; Object detection; Remote sensing; Transforms;
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2011 International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4577-1698-0