Deep Neural Networks for Landmines Images Classification

Author:

Fikry Refaat M.,Kasban H.

Publisher

Springer International Publishing

Reference31 articles.

1. Kasban, H.: Detection of buried objects using acoustic waves, M.Sc. thesis, Faculty of Electronic Engineering, Department of Electronics and Electrical Communications Engineering, Menoufia University (2008)

2. Paik, J., Lee, C., Abidi, M.: Image processing-based mine detection techniques: a review. Subsurf. Sens. Technol. Appl. 3, 153–202 (2002)

3. El-Qady, G., Al-Sayed, A.S., Sato, M., Elawadi, E., Ushijima, K.: Mine detection in Egypt: Evaluation of new technology. International Atomic Energy Agency (IAEA), IAEA (2007)

4. Kasban, H., Zahran, O., El-Kordy, M., Elaraby, S., Abd El-Samie, F.: Automatic object detection from acoustic to seismic landmine images. Presented at the International Conference on Computer Engineering & Systems, Cairo - Egypt (2008)

5. Travassos, X.L., Avila, S.L., Ida, N.: Artificial neural networks and machine learning techniques applied to ground penetrating radar: a review. Appl. Comput. Inform. (2018)

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