多传感器协同探测目标的分类识别研究

J4 ›› 2009, Vol. 36 ›› Issue (3): 443-447.

• Original Articles • Previous Articles Next Articles

Study of target recognition based on multi-sensor cooperating with exploration

HU Guo-ping^1,2;ZHANG Shou-hong¹

(1. Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071， China;
2. Missile Inst. of Air Force Eng. Univ., Xi'an 713800， China)

Received:2008-11-03 Revised:2008-12-15 Online:2009-06-20 Published:2009-07-04
Contact: HU Guo-ping E-mail:hgp6068@163.com

Abstract

Abstract:

Applying a Multi-sensor, such as optical, infrared, SAR, High-spectrum and electron signal type, to explore the target cooperating, a new approach is proposed based on the Neural Network together with the D-S evidence theory, and “orderly quantization” is adopted in target recognition. The target is classified extensively and then intensively. The approach can accurately and effectively identify the target.

Key words: cooperating with exploration, orderly quantization, neural network, D-S evidence theory, target recognition

CLC Number:

TP751.1

HU Guo-ping1,2;ZHANG Shou-hong1. Study of target recognition based on multi-sensor cooperating with exploration[J].J4, 2009, 36(3): 443-447.

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Study of target recognition based on multi-sensor cooperating with exploration

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