Spatial Characteristics Analysis of Multi-Scale Ship Target in Scanning Detection System

2019 ◽  
Vol 39 (7) ◽  
pp. 0728010 ◽  
Author(s):  
宋文韬 Wentao Song ◽  
胡勇 Yong Hu ◽  
巩彩兰 Cailan Gong ◽  
匡定波 Dingbo Kuang
Keyword(s):  
Detection System ◽  
Spatial Characteristics ◽  
Multi Scale ◽  
Characteristics Analysis ◽  
Scanning Detection

scholarly journals Multi-Scale Feature Pyramid Network: A Heavily Occluded Pedestrian Detection Network Based on ResNet

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1820
Author(s):  
Xiaotao Shao ◽  
Qing Wang ◽  
Wei Yang ◽  
Yun Chen ◽  
Yi Xie ◽  
...  
Keyword(s):  
Semantic Information ◽  
Detection System ◽  
Pedestrian Detection ◽  
Detection Accuracy ◽  
The Public ◽  
Scale Feature ◽  
Detection Algorithms ◽  
Multi Scale ◽  
Art Works ◽  
Feature Pyramid

The existing pedestrian detection algorithms cannot effectively extract features of heavily occluded targets which results in lower detection accuracy. To solve the heavy occlusion in crowds, we propose a multi-scale feature pyramid network based on ResNet (MFPN) to enhance the features of occluded targets and improve the detection accuracy. MFPN includes two modules, namely double feature pyramid network (FPN) integrated with ResNet (DFR) and repulsion loss of minimum (RLM). We propose the double FPN which improves the architecture to further enhance the semantic information and contours of occluded pedestrians, and provide a new way for feature extraction of occluded targets. The features extracted by our network can be more separated and clearer, especially those heavily occluded pedestrians. Repulsion loss is introduced to improve the loss function which can keep predicted boxes away from the ground truths of the unrelated targets. Experiments carried out on the public CrowdHuman dataset, we obtain 90.96% AP which yields the best performance, 5.16% AP gains compared to the FPN-ResNet50 baseline. Compared with the state-of-the-art works, the performance of the pedestrian detection system has been boosted with our method.

scholarly journals Development of Scanning Detection System for Cracks on Al2O3 Ceramics.

1995 ◽  
Vol 61 (11) ◽  
pp. 1599-1603
Author(s):  
Takaharu YOSHIMURA ◽  
Nobuyuki AKIYAMA ◽  
Masahiro YOSHIDA ◽  
Takayuki KOBAYASHI
Keyword(s):  
Detection System ◽  
Scanning Detection

scholarly journals Deciphering the Manufacturing Production Space in Global City-Regions of Developing Countries—a Case of Pearl River Delta, China

2019 ◽  
Vol 11 (23) ◽  
pp. 6850
Author(s):  
Bo Liu ◽  
Desheng Xue ◽  
Yiming Tan
Keyword(s):  
Developing Countries ◽  
Influencing Factors ◽  
Pearl River Delta ◽  
Global City ◽  
River Delta ◽  
Pearl River ◽  
Spatial Characteristics ◽  
Multi Scale ◽  
City Regions ◽  
Production Space

In the context of economic globalization, the manufacturing production space in the global city-regions of developing countries have presented significant spatial characteristics, attracting attention to the problems of intensive and sustainable development of production space. Taking global city-region in the Pearl River Delta (PRD) as an example, manufacturing production space based on remote sensing (RS) technology and point of interest (POI) data extraction was more precise and continuous, which had more advantages for further analysis of spatial characteristics and influencing factors in multi-scale, and precise policy recommendations. The results show that: (1) under different scales, the distribution characteristics of manufacturing production space and the agglomeration characteristics of spatial form are different. It is not simply extensive agglomeration or diffusion that can accurately explain its diversified spatial characteristics. Meanwhile, for the local manufacturing production space optimization control, the local government should apply advanced experience according to local conditions instead of simply and roughly promotion or containment. (2) Influencing factors show a strong positive correlation with the urbanization rate, the number of foreign direct investment (FDI) enterprises and gross industrial production, and which shows a weak negative correlation with fixed asset investment and the employment population. In conclusion, the spatial characteristics of manufacturing production space in global city-regions in developing countries is significantly different from that in Western countries, and its influencing factors have similarities and differences. Therefore, when conducting multi-scale space optimization and sustainable regulation, the government should consider more about the actual multi-scale spatial characteristics of manufacturing production space and its influencing factors instead of copy the Western experience.

The Impact Mechanism of Fractal Noise on PN Code Detection System

2014 ◽  
Vol 13 (02) ◽  
pp. 1450017 ◽  
Author(s):  
Gang Xiong ◽  
Shu-Ning Zhang ◽  
Hui-Chang Zhao
Keyword(s):  
White Noise ◽  
Detection System ◽  
Random Phase ◽  
Average Power ◽  
Fractal Model ◽  
Sea Clutter ◽  
Impact Mechanism ◽  
Multi Scale ◽  
Fractal Noise ◽  
The Impact

Taking the pseudo-random phase modulated CW radar for example, this paper studies the impact mechanism of a class of non-stationary fractal noise on PN code detection system, especially signal mixing and matching filter. The cross correlation function, power spectrum function and average power of pseudo-random signal and fractal noise are deduced, compared with the impact of white noise on the pseudo code detection system. We analyze the impact mechanism of three kinds of sea clutter model, namely fractal Brownian model (FBM), the multifractal (MF) model and the non-stationary random fractal model (e.g., infinitely divisible cascades, IDC), on the pseudo-random code detection system, and demonstrate the reason why the multi-scale filtering method in wavelet domain and the MF methods fail to eliminate the effect of sea clutter. Based on the natural sea clutter data, we simulate and analyze the influence of white noise and fractal noise comparatively on detection system, which indicates that the effect of fractal noise cannot be inhibited effectively by the traditional correlation detection and MF analysis, and finally we put forward possible solutions.

Drought hazard assessment and spatial characteristics analysis in China

2011 ◽  
Vol 21 (2) ◽  
pp. 235-249 ◽  
Author(s):  
Bin He ◽  
Aifeng Lü ◽  
Jianjun Wu ◽  
Lin Zhao ◽  
Ming Liu
Keyword(s):  
Hazard Assessment ◽  
Spatial Characteristics ◽  
Drought Hazard ◽  
Characteristics Analysis

Detection System on Weak Electrical Signal in Plants

2013 ◽  
Vol 427-429 ◽  
pp. 2037-2040 ◽  
Author(s):  
Hai Wu ◽  
Li Guo Tian ◽  
Shan Hu ◽  
Zhi Liang Chen ◽  
Meng Li
Keyword(s):  
Detection System ◽  
Electrical Signal ◽  
Feature Analysis ◽  
Electric Signal ◽  
System Construction ◽  
Experiment System ◽  
Growth Status ◽  
Experimental Platform ◽  
Analysis Process ◽  
Characteristics Analysis

To achieve the accurate extraction and characteristics analysis of electrical signal in plants, the system was developed for detecting and extracting weak electrical signal in plants. As experimental platform for the extraction and detection of plants electric signal, training experiment system on the growth of plants, had done the experiments of extraction and feature analysis on plants electric signal by it, described in detail the extraction and analysis process of plants electrical signal, and also discussed the methods of anti-interference process for the system. The system construction is feasible, it has positive significance for real-time monitoring the environment factors changes and the plants growth status.

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