Discrimination and Correlation Analysis of Multiview SAR Images with Application to Target Recognition

Chen, Lin; Zhan, Peng; Cao, Luhui; Li, Xueqing

doi:10.1155/2021/6646388

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…As shown in Table 7, for the sufficiency analysis [32][33][34][35][36][37][38], the abbreviation of the variable will be used below. We use DY (dynamics) to replace the number of dynamics in the circle, use ES (employees stationed) to replace the number of employees stationed in the circle, use GOA (group of answer) to replace the number of answer groups composed of platform users, use PO (posts) to replace the number of posts, use AP (approval) to replace the number of approval, and use VI (views) to replace the number of views.…”

Section: Sufficiency Analysis Of Adopting Efficiency As An Antecedent...mentioning

confidence: 99%

Knowledge Sharing Efficiency Analysis Model Design of Internet Open Innovation Community

Wang

Nie

2022

Scientific Programming

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The emergence of Internet technology has changed the technological innovation path and knowledge acquisition paradigm of enterprises and promoted the construction of digital technology, digital platform, and digital infrastructure. A large number of companies have begun to create brand communities and obtain suggestions for product improvement and innovation from the communities. However, obtaining innovative opinions and inspiration through the community to the final realization is not achieved overnight. It needs to go through the process of knowledge sharing to user interaction, from user interaction to knowledge creation and discovery and from knowledge discovery to innovation contribution. To study the efficiency of Internet community innovation, it is necessary to decompose the innovation process into two parts: problem adoption and problem solution, and then analyze them separately to get the influence combination and path. Taking Xiaomi (one of the world’s largest mobile phone manufacturers) online community as an example, this article decomposes the process of issue solution into adoption stage and solution stage by crawling the relevant data of posts through web crawlers, takes the adoption efficiency and problem-solving efficiency as antecedents, and uses fuzzy set qualitative comparative analysis method to analyze the combination of conditions that affect the former two. It is of great significance to improve the knowledge sharing and innovation research of the open innovation community.

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Section: Sufficiency Analysis Of Adopting Efficiency As An Antecedent...mentioning

confidence: 99%

Knowledge Sharing Efficiency Analysis Model Design of Internet Open Innovation Community

Wang

Nie

2022

Scientific Programming

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Secret information security system in computer network based on Bayesian classification and nonlinear algorithm

2022

Nonlinear Engineering

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To solve the problem that most computer network security assessment systems cannot comprehensively analyze data, this article proposes a research method for computer network confidentiality information security system based on the Bayesian classification algorithm. This research takes the computer network security secret-related information security as the core, cleverly uses the EBCA back-propagation model, and comprehensively uses nonlinear functions to propose a computer network secret-related information security application system considering EBCA, which effectively solves the complex cross-linking relationship. The effectiveness of the method is verified by simulation experiments. Simulation experiments show that when the network performance is in the optimal state, the slope is 1, the intercept is 0, and the fitting degree is 1. The method proposed in this article is especially suitable for the nonlinear characteristics of computer network security and can accurately, comprehensively, and systematically reflect the security operation status of network security and confidential information. Then, through the simulation test, it is found that the method in this study can effectively meet the error requirements of equipment integrity and equipment normal rate.

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Automatic Building Detection for Multi-Aspect SAR Images Based on the Variation Features

Liu

Li²,

et al. 2022

Remote Sensing

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Multi-aspect synthetic aperture radar (SAR) images contain more information available for automatic target recognition (ATR) than images from a single view. However, the sensitivity to aspect angles also makes it hard to extract and integrate information from multi-aspect images. In this paper, we propose a novel method based on the variations features to realize automatic building detection in the image level. First, to get a comprehensive description of target variation patterns, statistical characteristic variances are derived from three representative and complementary categories. Then, these obtained features are fused and put in the K-means classifier for prescreening, whose results are used as the training sets in supervised classification later to avoid manual labeling. Second, for more precise detection performance, finer features in vector forms are obtained by principal component analysis (PCA). The variation patterns of these feature vectors are explored in two different manners of correlation and fluctuation analyses and processed by separate support vector machines (SVMs) after fusion. Finally, the independent SVM detection results are fused according to a maximum probability rule. Experiments conducted on two different airborne data sets demonstrate the robustness and effectiveness of the proposed method, in spite of significant target signature variabilities and cluttered background.

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Discrimination and Correlation Analysis of Multiview SAR Images with Application to Target Recognition

Cited by 3 publications

References 23 publications

Knowledge Sharing Efficiency Analysis Model Design of Internet Open Innovation Community

Knowledge Sharing Efficiency Analysis Model Design of Internet Open Innovation Community

Secret information security system in computer network based on Bayesian classification and nonlinear algorithm

Automatic Building Detection for Multi-Aspect SAR Images Based on the Variation Features

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