Results 261 to 270 of about 287,251 (295)
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IEE Proceedings - Radar, Sonar and Navigation, 1996
A centralised plot-level data fusion technique, which is based on a neural network, is presented. A self-organised feature-mapping technique, which learns from sensor observations, is used to integrate the data from several sensors with various unknown measurement accuracies.
F. Wang +4 more
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A centralised plot-level data fusion technique, which is based on a neural network, is presented. A self-organised feature-mapping technique, which learns from sensor observations, is used to integrate the data from several sensors with various unknown measurement accuracies.
F. Wang +4 more
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SPIE Proceedings, 1999
This paper describes two practical fusion techniques for automatic target cueing that combine features derived from each sensor data ta the object-level. In the hybrid fusion method each of the input sensor data is prescreened before the fusion stage. The cued fusion method assumes that one of the sensors is designated as a primary sensor, and thus ATC
Tamar Peli +4 more
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This paper describes two practical fusion techniques for automatic target cueing that combine features derived from each sensor data ta the object-level. In the hybrid fusion method each of the input sensor data is prescreened before the fusion stage. The cued fusion method assumes that one of the sensors is designated as a primary sensor, and thus ATC
Tamar Peli +4 more
openaire +1 more source
2015
Researcher introduced biometric system to improve the security because nowadays, the world is becoming more insecure. The term Biometrics is derived from the Greek composite words bio and metric. Bio means life and metric means to measure. Biometrics basically is a measure and analysis of human physiological and behavioral characteristics to identify ...
Koteswara Rao Anne +2 more
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Researcher introduced biometric system to improve the security because nowadays, the world is becoming more insecure. The term Biometrics is derived from the Greek composite words bio and metric. Bio means life and metric means to measure. Biometrics basically is a measure and analysis of human physiological and behavioral characteristics to identify ...
Koteswara Rao Anne +2 more
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A feature fusion method for feature extraction
SPIE Proceedings, 2012The automatic target recognition based on image fusion refers to the fusion process using the target images provided by a variety of sensors, so as to improve the recognition accuracy and robustness and to obtain better recognition performance.
Dejun Tang +3 more
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2020
Fusion at feature level is also referred to as an intermediate level of image fusion. This process can represent and analyze the multi-sensor data for realizing classification and recognition tasks. The multi-resolution techniques are important, theoretical, and analytical tools of signal and image processing.
Gang Xiao +3 more
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Fusion at feature level is also referred to as an intermediate level of image fusion. This process can represent and analyze the multi-sensor data for realizing classification and recognition tasks. The multi-resolution techniques are important, theoretical, and analytical tools of signal and image processing.
Gang Xiao +3 more
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Feature fusion for lung nodule classification
International Journal of Computer Assisted Radiology and Surgery, 2017This article examines feature-based nodule description for the purpose of nodule classification in chest computed tomography scanning.Three features based on (i) Gabor filter, (ii) multi-resolution local binary pattern (LBP) texture features and (iii) signed distance fused with LBP which generates a combinational shape and texture feature are utilized ...
Amal A. Farag +3 more
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2009
This chapter introduces the basis of feature level fusion and presents two feature level fusion examples. As the beginning, Section 13.1 provides an introduction to feature level fusion. Section 13.2 describes two classes of feature level fusion schemes. Section 13.3 gives a feature level fusion example that fuses face and palm print.
David Zhang +3 more
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This chapter introduces the basis of feature level fusion and presents two feature level fusion examples. As the beginning, Section 13.1 provides an introduction to feature level fusion. Section 13.2 describes two classes of feature level fusion schemes. Section 13.3 gives a feature level fusion example that fuses face and palm print.
David Zhang +3 more
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Intact feature fusion in schizophrenic patients
European Archives of Psychiatry and Clinical Neurosciences, 2004How the various features of an object are bound to a unified percept is one of the most fundamental problems the human brain has to solve. Whereas healthy observers usually do not reveal binding errors, it has been proposed that schizophrenic patients suffer from binding deficits.
Andreas, Brand +2 more
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Improving edge-based feature extraction using feature fusion
2008 IEEE International Conference on Systems, Man and Cybernetics, 2008Feature extraction is arguably the most important stage of an automatic object detection system. It is in this stage where the results of previous processing steps are interpreted to somehow characterize an object. Developing methods for feature extraction and feature vector generation using information from edge maps is a natural progression, as edge ...
Shahan Nercessian +2 more
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