Feature-based biological sensor fusion

被引：0

作者：

Blasch, EP ^{[1
]}

Gainey, JC ^{[1
]}

机构：

[1] USAF, Res Lab, SNAT, WPAFB, Wright Patterson AFB, OH 45324 USA

来源：

FUSION'98: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MULTISOURCE-MULTISENSOR INFORMATION FUSION, VOLS 1 AND 2 | 1998年

关键词：

belief filtering; data association; feature-based sensor fusion; pulse-coupled neural network;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper focuses on extracting and fusing visual feature information to discern targets much like a human fuses visual, auditory, and somatosensory data. Extraction of features is performed using a Pulse Coupled Neural Network to simulate visual-cortex processing of linking related-feature information. The feature-based biological sensor fusion approach extracts features from images, associates relevant features, and uses a belief filter to confirm or deny target identity.

引用

页码：702 / 709

页数：8

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