Automatic target recognition for naval traffic control using neural networks

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Article

Automatic target recognition for naval traffic control using neural networks

G. Pasquariello - Nama Orang; G. Satalino, - Nama Orang; V. la Forgia, - Nama Orang; V. la Forgia - Nama Orang;

Safety requirements in traffic control stress the importance of techniques devoted to automatic tracking of little crafts in harbor areas. Changeable sceneries and noise variability make hard the recognitions task of an automatic target recognition system. In this paper, a modular system based on neural networks for the quasi real time detection of moving targets in seaport radar images is proposed. The neural modules resolve both noise removal and target identification tasks by processing steps including a segmentation, a filtering and a classification phase. The system performances have been evaluated on temporal sequences acquired in a real maritime environment. 0 1998 ElsevierScience B.V.

Ketersediaan

IPC Corporate University Library ATC PO LLO a C.1

ATC1602672

Tersedia

Informasi Detail

Judul Seri: -
No. Panggil: ATC PO LLO a
Penerbit: Italy : Elsevier., 1998
Deskripsi Fisik: 7 p.
Bahasa: English
ISBN/ISSN: 0262-8856
Klasifikasi: PO
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: online resource
Edisi: -
Subjek: Artificial neural network;
Segmentation;
Classification;
Automatic Target Recognition
Info Detail Spesifik: -
Pernyataan Tanggungjawab: G. Pasquariello

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