scholarly journals An Automatic Recognition and Positioning Method for Point Source Targets on Satellite Images

2018 ◽  
Vol 7 (11) ◽  
pp. 434 ◽  
Author(s):  
Kai Li ◽  
Yongsheng Zhang ◽  
Zhenchao Zhang ◽  
Ying Yu
Keyword(s):  
Point Source ◽  
High Precision ◽  
Template Matching ◽  
Automatic Recognition ◽  
Radiometric Calibration ◽  
Matching Method ◽  
Suitable Alternative ◽  
Position Detection ◽  
Intervention Point ◽  
Positioning Method

Currently, the geometric and radiometric calibration of on-board satellite sensors utilizes different ground targets using some form of manual intervention. Point source targets provide high precision geometric and radiometric information and have the potential to become a new tool for joint geometric and radiometric calibration. In this paper, an automatic recognition and positioning method for point source target images is proposed. First, the template matching method was used to effectively reduce nonpoint source target image pixels in the satellite imagery. The point source target images were then identified using particular feature parameters. Using the template matching method, the weighted centroid method, and the Gaussian fitting method, the positions of the centroid of the point source target images were calculated. The maximum position detection error obtained using the three methods was 0.07 pixels, which is comparably better than artificial targets currently in use. The experimental results show point source targets provide high precision geometric information, which can become a suitable alternative for automatic joint geometric and radiometric calibration of spaceborne optical sensors.

scholarly journals Correlation matching method for high-precision position detection of optical vortex using Shack–Hartmann wavefront sensor

2012 ◽  
Vol 20 (24) ◽  
pp. 26099 ◽  
Author(s):  
Chenxi Huang ◽  
Hongxin Huang ◽  
Haruyoshi Toyoda ◽  
Takashi Inoue ◽  
Huafeng Liu
Keyword(s):  
High Precision ◽  
Optical Vortex ◽  
Wavefront Sensor ◽  
Matching Method ◽  
Position Detection ◽  
Correlation Matching

Study on Vehicle License Plate Automatic Recognition System for Exit and Entrance

2011 ◽  
Vol 58-60 ◽  
pp. 2115-2121
Author(s):  
Jian Chao Shao ◽  
Xue Mei Guo ◽  
Bing Qi Chen
Keyword(s):  
Hough Transform ◽  
Template Matching ◽  
Recognition System ◽  
Automatic Recognition ◽  
Experimental Results ◽  
Correct Recognition ◽  
License Plate ◽  
Matching Method ◽  
Color Characteristics

A new algorithm of vehicle license plate automatic recognition for exit and entrance was proposed in this research. Firstly, using the gray information of vehicle license plate to locate plate roughly, and secondly using the color characteristics of the plate for accurate positioning in the rough location region, and then correcting the horizontal tilt of the plate by the method of Hough transform. After above processing, we adopt template matching method to recognize the plate characters. Experimental results indicated that the developed method can adapt to a variety of complex backgrounds and achieve the correct recognition of the vehicle license plate.

High-precision roll attitude estimation of decoupled canards relative to the projectile body using bipolar hall-effect sensors

2021 ◽  
pp. 1-9
Author(s):  
Tingting Yin ◽  
Zhong Yang ◽  
Youlong Wu ◽  
Fangxiu Jia
Keyword(s):  
Hall Effect ◽  
Real Time ◽  
High Precision ◽  
Solution Method ◽  
Estimation Method ◽  
Estimation Algorithm ◽  
Attitude Estimation ◽  
Fuzzy Algorithms ◽  
Positioning Method ◽  
Hall Effect Sensors

The high-precision roll attitude estimation of the decoupled canards relative to the projectile body based on the bipolar hall-effect sensors is proposed. Firstly, the basis engineering positioning method based on the edge detection is introduced. Secondly, the simplified dynamic relative roll model is established where the feature parameters are identified by fuzzy algorithms, while the high-precision real-time relative roll attitude estimation algorithm is proposed. Finally, the trajectory simulations and grounded experiments have been conducted to evaluate the advantages of the proposed method. The positioning error is compared with the engineering solution method, and it is proved that the proposed estimation method has the advantages of the high accuracy and good real-time performance.

Configuring a seismographic network for optimal monitoring of fault lines and multiple sources

1995 ◽  
Vol 85 (6) ◽  
pp. 1847-1857
Author(s):  
David M. Steinberg ◽  
Nitzan Rabinowitz ◽  
Yair Shimshoni ◽  
Daphna Mizrachi
Keyword(s):  
Statistical Theory ◽  
Experimental Design ◽  
Point Source ◽  
High Precision ◽  
Optimality Criterion ◽  
Network Configuration ◽  
Multiple Sources ◽  
Optimal Monitoring ◽  
Optimal Network ◽  
Seismographic Network

Abstract The geometric configuration of a seismographic network has important consequences for the ability to determine hypocenters with high precision. We present a method for optimal configuration when the network must monitor a system of faults. Our optimality criterion is drawn from the statistical theory of experimental design and can be effeciently maximized using an extension of the DETMAX algorithm. Our work generalizes that of Rabinowitz and Steinberg (1990), which treated the problem of optimal network configuration for monitoring a point source.

Autocorrelation Phase Measurement of Spread Spectrum Signal for High Precision Indoor Microwave Positioning

2015 ◽  
Vol 734 ◽  
pp. 31-39
Author(s):  
Wen Yang Cai ◽  
Gao Yong Luo
Keyword(s):  
High Precision ◽  
Spread Spectrum ◽  
Phase Measurement ◽  
Wide Band ◽  
Cost Effective ◽  
Local Area ◽  
Indoor Positioning ◽  
60 Ghz ◽  
Positioning Method ◽  
Increasing Demand

The increasing demand for high precision indoor positioning in many public services has urged research to implement cost-effective systems for a rising number of applications. However, current systems with either short-range positioning technology based on wireless local area networks (WLAN) and ZigBee achieving meter-level accuracy, or ultra-wide band (UWB) and 60 GHz communication technology achieving high precision but with high cost required, could not meet the need of indoor wireless positioning. This paper presents a new method of high precision indoor positioning by autocorrelation phase measurement of spread spectrum signal utilizing carrier frequency lower than 1 GHz, thereby decreasing power emission and hardware cost. The phase measurement is more sensitive to the distance of microwave transmission than timing, thus achieving higher positioning accuracy. Simulation results demonstrate that the proposed positioning method can achieve high precision of less than 1 centimeter decreasing when various noise and interference added.

High precision spot position detection model for the near infrared light

2016 ◽  
Vol 45 (7) ◽  
pp. 0717001
Author(s):  
吴佳彬 Wu Jiabin ◽  
陈云善 Chen Yunshan ◽  
高世杰 Gao Shijie ◽  
吴志勇 Wu Zhiyong
Keyword(s):  
High Precision ◽  
Near Infrared ◽  
Infrared Light ◽  
Near Infrared Light ◽  
Detection Model ◽  
Position Detection
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