Mine Detection Using Scattering Parameters  

Oleh:

Torrieri, D. ; Plett, G. L. ; Doi, T.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 8 no. 6 (1997), page 1456-1467.
Topik: parameters; mine detection; parameters

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The detection and disposal of antipersonnel land mines is one of the most difficult and intractable problems faced in ground conflict. This paper presents detection methods which use a separated - aperture microwave sensor and an artificial neural network pattern classifier. Several data - specific preprocessing methods are developed to enhance neural network learning. In addition, a generalized Karhunen - Loeve transform and the eigenspace separation transform are used to perform data reduction and reduce network complexity. Highly favorable results have been obtained using the above methods in conjunction with a feedforward neural network.

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