Results 211 to 220 of about 703,662 (260)

Classification with probabilistic targets

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Modern robotic platforms, deployed for environmental monitoring and mapping, are able to rapidly accumulate large data sets. Whilst the data sets collected by these platforms are highly descriptive, they are often too large for human experts to analyse exhaustively.
Asher Bender, Stefan B. Williams, Oscar Pizarro   +2 more
openaire   +1 more source

A Possibilistic Approach to Target Classification

2000
Abstract: This chapter describes an alternative to the Bayesian approach to target classification that is based on possibility theory. A possibilistic classifier minimizes the maximum cost of the classification decision taking into account the a posteriori possibilities of the target classes given the measured target attributes.
Huizing, A.G., Groen, F.C.A.
openaire   +2 more sources

Target classification strategies

SPIE Proceedings, 2015
Target classification algorithms have generally kept pace with developments in the academic and commercial sectors since the 1970s. However, most recently, investment into object classification by internet companies and various Human Brain Projects have far outpaced that of the defense sector. Implications are noteworthy.
openaire   +1 more source

Novel classification fusion techniques for military target classification

SPIE Proceedings, 2007
The objective of this paper is to develop novel classification structures for military targets detection and recognition by employing different fusion techniques. In real applications, the great diversity of materials in the background areas and the similarity between the background and target signatures result in high false alarm rates and large ...
Ting Liu, George A. Lampropoulos
openaire   +1 more source

Classification and Target Tempo

2016
A target can be classified based upon an IFF signal, a visual image, or something similar. But an uncooperative target will not transmit a valid IFF signal and will attempt to obscure its image from the defender. Can the target be identified from its motion pattern; e.g., turn rates, tempo?
David D. Sworder, John E. Boyd
openaire   +1 more source

Discrimination measures for target classification

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), 2002
Target detection does not necessarily yield target classification since the detected targets may belong to different classes and cannot be differentiated one from another by target detection. This often occurs when no prior target knowledge is available.
null Shao-Shan Chiang, null Chein-I Chang   +1 more
openaire   +1 more source

Acoustic classification of submerged targets

ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Broadband signal processing techniques have introduced new possibilities in acoustic classification through detailed examination of the target's form function (backscattered pressure vs frequency). The form function is unique for a body of given size, shape and composition and correlation with analytically or empirically obtained form function ...
S. Numrich, L. Frank, L. Dragonette
openaire   +1 more source

Multisensor Target Detection And Classification

SPIE Proceedings, 1988
Abstract : In this thesis a new approach to the detection and classification of tactical targets using a multifunction laser radar sensor is developed. Targets of interest were tanks, jeeps, trucks, and other vehicles. Doppler images were segmented by developing a new technique which compensates for spurious doppler returns.
Dennis W. Ruck, Steven K. Rogers, James P. Mills, Matthew Kabrisky   +3 more
openaire   +1 more source

Passive polarimetric IR target classification

IEEE Transactions on Aerospace and Electronic Systems, 2001
Automatic detection and recognition of targets by means of passive IR sensors suffer from limitations due to lack of sufficient contrast between the targets and, their backgrounds and among the facets of a target. A set of novel algorithms is designed and tested that uses the target and background Stokes parameters for detection, segmentation, and ...
F.A. Sadjadi, C.S.L. Chun
openaire   +1 more source

Bispectrum-based radar target classification

ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344), 2002
With the good performance of higher-order spectra (HOS) techniques for non-Gaussian signal processing and Gaussian noise suppression capability, an AR model parametric bispectrum estimation is presented for conventional radar target return analysis. A reasonable selection of target bispectrum features is made with a formation of target feature vector ...
null Ji Hongbing, null Li Jie, null Xie Weixin, null He Wei   +3 more
openaire   +1 more source