A New Feature Extraction Method for Underwater Targets

2010 ◽  
Vol 171-172 ◽  
pp. 518-522
Author(s):  
Shi Long Wang ◽  
Yu Ru Xu ◽  
Lei Wan ◽  
Xu Dong Tang
Keyword(s):  
Ccd Camera ◽  
Moment Invariants ◽  
The Novel ◽  
Feature Extraction Method ◽  
Affine Invariants ◽  
Underwater Environment ◽  
Practical Engineering ◽  
Underwater Targets ◽  
New Feature ◽  
Discrete Moments

in the complex underwater environment, underwater images are taken by special underwater CCD camera and its S/N is low and the edge is fuzzy. For the four types of characteristic underwater targets, the novel moments called relative boundary moments are proposed, and the affine invariants of discrete moments are constructed. With scale, translating and rotating invariance, the moments can be used as the descriptors of the samples. Experimental results show that compared with the traditional regional moments, the new moment invariants not only can reduce the calculation in data processing to a large extent, but also improve the robustness and timeliness for engineering applications. When applying to the practical engineering, that is particularly approval for AUV to complete a certain mission.

scholarly journals A Novel Algorithm For Radar Target Feature Extraction

2018 ◽  
Vol 176 ◽  
pp. 01027
Author(s):  
Shen Limin
Keyword(s):  
Feature Extraction ◽  
Extraction Method ◽  
Amplitude Fluctuation ◽  
Svm Classifier ◽  
Radar Target ◽  
The Novel ◽  
Target Feature ◽  
Feature Extraction Method ◽  
New Feature ◽  
Fluctuation Property

Due to the aspect sensitivity of High Resolution Range Profile (HRRP), traditional radar target recognition methods usually use average HRRP within some aspect region. Actually, the amplitude fluctuation property of HRRPs also represents some feature information of target.According to the scattering center model, a new feature extraction method using the amplitude fluctuation property of HRRPs is proposed in this paper. The new algorithm mainly extracts the features of the effective distance unit according to the distribution of the target scattering points to improve the recognition efficiency.The experimental results based on the SVM classifier show that the novel feature extraction method can improve recognition performances greatly .

scholarly journals Geometric and Kinematic Analyses and Novel Characteristics of Origami-Inspired Structures

Symmetry ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1101 ◽  
Author(s):  
Yao Chen ◽  
Jiayi Yan ◽  
Jian Feng
Keyword(s):  
Flexible Electronics ◽  
Kinematic Analysis ◽  
Three Dimensional ◽  
Research Progress ◽  
The Novel ◽  
Pattern Design ◽  
Research Directions ◽  
Practical Engineering ◽  
Kinematic Analyses ◽  
The Common

In recent years, origami structures have been gradually applied in aerospace, flexible electronics, biomedicine, robotics, and other fields. Origami can be folded from two-dimensional configurations into certain three-dimensional structures without cutting and stretching. This study first introduces basic concepts and applications of origami, and outlines the common crease patterns, whereas the design of crease patterns is focused. Through kinematic analysis and verification on origami structures, origami can be adapted for practical engineering. The novel characteristics of origami structures promote the development of self-folding robots, biomedical devices, and energy absorption members. We briefly describe the development of origami kinematics and the applications of origami characteristics in various fields. Finally, based on the current research progress of crease pattern design, kinematic analysis, and origami characteristics, research directions of origami-inspired structures are discussed.

Research on Rolling Element Bearing Fault Diagnosis Based on Singular Value Decomposition and Kurtosis Criterion

2013 ◽  
Vol 432 ◽  
pp. 304-309 ◽  
Author(s):  
Xiao Lin Wang ◽  
Yong Xiang Zhang ◽  
Jie Ping Zhu ◽  
Zhong Qi Shi
Keyword(s):  
Singular Value Decomposition ◽  
Vibration Signal ◽  
Singular Value ◽  
Rolling Element Bearing ◽  
Feature Extraction Method ◽  
Bearing Fault Diagnosis ◽  
Rolling Element ◽  
New Feature ◽  
Value Decomposition ◽  
Fault Information

In order to extract the faint fault information from complicated vibration signal of bearing, a new feature extraction method based on singular value decomposition (SVD) and kurtosis criterion is proposed in my work. According to the method, a group of component signals are obtained firstly using SVD, then component signals with equal kurtosis are selected to be summed together, and the weak fault signal is clearly extracted. The effectiveness of the method is demonstrated on both simulated signal and actual data.

scholarly journals A Flux Mapping Method for Central Receiver Systems

2011 ◽  
Author(s):  
Clifford K. Ho ◽  
Siri S. Khalsa
Keyword(s):  
Ccd Camera ◽  
Mapping Method ◽  
Test Facility ◽  
The Novel ◽  
Additional Information ◽  
Thermal Test ◽  
Central Receiver ◽  
Direct Normal Irradiance ◽  
Beam Characterization ◽  
Pixel Value

A new method is described to determine irradiance distributions on receivers and targets from heliostats or other collectors for concentrating solar power applications. The method uses a CCD camera, and, unlike previous beam characterization systems, it does not require additional sensors, calorimeters, or flux gauges on the receiver or target. In addition, spillage can exist (the beam does not need to be contained within the target). The only additional information required besides the digital images recorded from the CCD camera is the direct normal irradiance and the reflectivity of the receiver. Methods are described to calculate either an average reflectivity or a reflectivity distribution for the receiver using the CCD camera. The novel feature of this new PHLUX method is the use of recorded images of the sun to scale both the magnitude of each pixel value and the subtended angle of each pixel. A test was performed to evaluate the PHLUX method using a heliostat beam on the central receiver tower at the National Solar Thermal Test Facility in Albuquerque, NM. Results showed that the PHLUX method was capable of producing an accurate flux map of the heliostat beam with a relative error in the peak flux of 2%.

Sign in / Sign up

Export Citation Format

Share Document