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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Aircraft Target Recognition in Remote Sensing Images Based on Saliency Maps and Invariant Moments
verfasst von : Jie Luo, Jiexian Zeng, Jun Fu, Xiang Fu, Lu Leng
Erschienen in: ICGG 2018 - Proceedings of the 18th International Conference on Geometry and Graphics
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Abstract
In the case of less interference, traditional aircraft target recognition algorithms can work well. However, there are a large number of interfering factors in the remote sensing images actually. At this time, traditional algorithms fail because of low recognition accuracy. Aiming at the shortcomings of traditional methods, this research has proposed a new kind of aircraft target recognition algorithm based on saliency images and invariant moments. The algorithm first uses Itti algorithm to extract salient targets after pretreatment, then uses the 8 neighborhood searching method to find the connected regions in binary images for determining the numbers and location of the candidate targets. Finally, identify the candidate targets by using the combined moments based on affine invariant moments and Pseudo-Zernike moments. The experiment results show that this algorithm has high detection accuracy, less time spent, low rate of false alarm, and it is robust to noise, background and scale transformation.