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检索条件"主题词=Detection algorithms"

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Mitigating Style Differences in Bitemporal Remote Sensing Images for Change detection

Mitigating Style Differences in Bitemporal Remote Sensing Im...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Tao Xie Lei Fu Jiayi Yang Qi Zang Dong Zhao Shuang Wang School of Artificial Intelligence Xidian University Shaanxi China Shaanxi Satellite Application Center for Natural Resources Shaanxi China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Change detection has seen significant advancements with the development of deep learning. However, due to variations in sensors or atmospheric conditions, bitemporal images often exhibit visually significant style differences, posing challenges for the detection of changed regions. This paper presents a change detection network designed to effectively address the challenges posed by style differences in bitemporal images. The proposed network comprises a color difference unification module and a generalized feature extraction module, which focuses the network on really changed areas. The color difference unification module harmonizes the color space of bitemporal remote sensing images, thereby mitigating the impact of style differences attributed to objective conditions. The generalized feature extraction module, ensuring robust feature representation for image pairs and further reducing style differences between bitemporal images. Experimental results demonstrate the superiority of our proposed method compared to existing change detection algorithms, confirming its suitability for fulfilling the requirements of change detection tasks.

关键词： Image sensors Deep learning Accuracy Image color analysis Feature extraction Sensors detection algorithms

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Video cut detection in E-Learning applications

Video cut detection in E-Learning applications

引用

International Symposium on Signal Processing and Its Applications (ISSPA)

作者： S. Koohi M. Babagoli T. Lotfi S. Kasaei Sharif University of Technology Tehran Iran

ISBN: (纸本)9781424407781;1424407796

Real-time video transmission is considered as an important means for information distribution. One major application of it is e-learning, which requires real-time video processing and transmission. On the other hand, the process of cut detection is a fundamental component in automatic video browsing, indexing, searching, retrieval, and archiving. This paper introduces a new video cut detection technique that uses dominant lines and angles extracted from edge information of the video contents. To the best of our knowledge, it is the first works done for cut detection in e-learning application. This method is compatible with our applicationpsilas requirements and has a low complexity and high speed. We have compared the performance of our proposed method against three established techniques and have evaluated the results using different video sequences.

关键词： Electronic learning Cameras Gunshot detection systems Change detection algorithms Indexing Video sequences Algorithm design and analysis detection algorithms Lighting Robustness

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A Covert Channel detection Algorithm Based on TCP Markov Model

A Covert Channel Detection Algorithm Based on TCP Markov Mod...

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International Conference on Multimedia Information Networking and Security (MINES)

作者： Jiangtao Zhai Guangjie Liu Yuewei Dai School of Automation Nanjing University of Science and Technology of PLA Nanjing China

Covert channels are used for transmitting secret information, which can penetrate the existing security equipments and bring potential dangers up to the information security. So, it's very essential to develop the correspondent detection algorithms. In the paper, the potential redundancies in TCP protocol are analyzed, and the covert channel algorithms are divided into several kinds according to TCP protocol. And then, a new covert channel detection method is proposed based on the TCP Markov model for different application scenarios. Experiments show that the proposed algorithm achieves sound detection performance.

关键词： Markov processes Protocols Training detection algorithms Security Redundancy IP networks

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Optimal data detection for OFDM system with low-resolution quantization

Optimal data detection for OFDM system with low-resolution q...

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International Conference on Communication Systems

作者： Hanqing Wang Ting Liu Chao-Kai Wen Shi Jin National Mobile Communications Research Laboratory Southeast University Nanjing P. R. China Institute of Communications Engineering National Sun Yat-sen University Taiwan

ISBN: (纸本)9781509034246

The use of low-resolution analog-to-digital converters (ADCs) (i.e., 1-3 bits) in a receiver effectively decreases power consumption and system costs, especially for millimeter-wave wireless systems. However, the orthogonality among subcarriers in the orthogonal frequency division multiplexing (OFDM) system cannot be maintained because of the severe nonlinearity of a low-resolution ADC. This paper proposes the optimal data detection algorithm for this quantized OFDM system. Simulation results demonstrate that the proposed algorithm, which entails acceptable performance loss compared to the infinite-precision case, significantly outperforms the conventional OFDM receiver in terms of symbol error rate.

关键词： OFDM Zirconium Receivers Reactive power Quantization (signal) detection algorithms Bayes methods

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LinkSCAN*: Overlapping community detection using the link-space transformation

LinkSCAN*: Overlapping community detection using the link-sp...

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International Conference on Data Engineering

作者： Sungsu Lim Seungwoo Ryu Sejeong Kwon Kyomin Jung Jae-Gil Lee Department of Knowledge Service Engineering KAIST Samsung Advanced Institute of Technology Samsung Electronics Graduate School of Culture Technology KAIST Department of Electrical and Computer Engineering Seoul National University

In this paper, for overlapping community detection, we propose a novel framework of the link-space transformation that transforms a given original graph into a link-space graph. Its unique idea is to consider topological structure and link similarity separately using two distinct types of graphs: the line graph and the original graph. For topological structure, each link of the original graph is mapped to a node of the link-space graph, which enables us to discover overlapping communities using non-overlapping community detection algorithms as in the line graph. For link similarity, it is calculated on the original graph and carried over into the link-space graph, which enables us to keep the original structure on the transformed graph. Thus, our transformation, by combining these two advantages, facilitates overlapping community detection as well as improves the resulting quality. Based on this framework, we develop the algorithm LinkSCAN that performs structural clustering on the link-space graph. Moreover, we propose the algorithm LinkSCAN* that enhances the efficiency of LinkSCAN by sampling. Extensive experiments were conducted using the LFR benchmark networks as well as some real-world networks. The results show that our algorithms achieve higher accuracy, quality, and coverage than the state-of-the-art algorithms.

关键词： Communities Clustering algorithms detection algorithms Lifting equipment Kernel Educational institutions Social network services

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Change detection on SAR images by using a parametric estimation of the Kullback-Leibler divergence

Change detection on SAR images by using a parametric estimat...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： J. Inglada CNES CNES French Space Agency DSO/OT/QTIS Toulouse France

Presents a method for performing change detection using a pair of SAR images acquired at different dates. The main difficulty with SAR images is the presence of speckle noise which may produce noisy change images if they are acquired with slightly different angles. The technique proposed in the present paper uses a parametric estimation of the probability distributions locally in each image as a characterization of the surfaces. The change is measured as a distance between these probability laws. The dissimilarity measure between the statistical distributions used here is a symmetric version of the Kullback-Leibler divergence.

关键词： Statistical distributions Speckle Radar detection Distributed computing Probability distribution Optical noise Laser radar Radar imaging detection algorithms Adaptive optics

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Matrix CUSUM: a recursive multi-hypothesis change detection algorithm

Matrix CUSUM: a recursive multi-hypothesis change detection ...

引用

IEEE International Symposium on Information Theory

作者： T. Oskiper H.V. Poor Department of Electrical Engineering Princeton University Princeton NJ USA

A new recursive M-ary change detection algorithm is described.

ISBN: (纸本)0780371232

A new recursive M-ary change detection algorithm is described.

关键词： detection algorithms Iron Distribution functions Change detection algorithms Delay Random variables Algorithm design and analysis Minimax techniques Statistical distributions Density functional theory

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Development of Real-time Defect detection Algorithm for High-speed Steel Bar in Coil(BIC)

Development of Real-time Defect Detection Algorithm for High...

引用

SICE Annual Conference

作者： Jong Pil Yun Youngsu Park Boyeul Seo Sang Woo Kim Se Ho Choi Chang Hyun Park Ho Mun Bae Hwa Won Hwang Department of Electrical and Electrical Engineering POSTECH Pohang Korea Instrumentation Research Group POSCO Pohang Korea

In steel manufacturing industry, as many advanced technologies increase manufacturing speed, fast and exact products inspection gets more important. This paper deals with a real-time defect detection algorithm for high-speed steel bar in coil (BIC). To get good performance, this algorithm has to solve several difficult problems such as cylindrical shape of a BIC, influence of light, many kinds of defects. Additionally, it should process quickly the large volumes of image for real-time processing since a steel bar moves at high speed. Therefore defect detection algorithm should satisfy two conflicting requirements of reducing the processing time and improving the efficiency of defect detection. This paper proposes an effective real-time defect detection algorithm that can solve above problems. And the algorithm is implemented by a high speed image processing system and will be applied to a practical manufacturing line. Finally, the performance of the proposed algorithm is demonstrated by experiment results

关键词： detection algorithms Steel Inspection Image processing Manufacturing industries Real time systems Support vector machines Support vector machine classification Instruments Coils

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A Power Theft detection Algorithm based on Electricity Usages

A Power Theft Detection Algorithm based on Electricity Usage...

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algorithms, High Performance Computing and Artificial Intelligence (AHPCAI), International Conference on

作者： Qiu Yan Zhang JiYuLei Dai Bin Liu ZhouBo Wu Honbo Zhou Electric Power Research Institute Guizhou Power Grid Co. Ltd Guiyang China GuiZhou UbiLink Co. Ltd. Guiyang China

Power theft detection has been a difficult issue for a long time, as part of the construction of the smart grid operation and maintenance management system (SOMS) of power facilities of village and town power supply stations (VTPS), a new algorithm based on user's electricity usage is proposed in this study. First, the regular curves of user power usage are computed and categorized based on the k-means clustering algorithm, then the Fréchet distance algorithm is used to calculate the discrepancies between the categorized curves and the target curve to identify suspicious users. Experiments shows the accuracy is 88.9%, which is a promising result.

关键词： Machine learning algorithms Power supplies High performance computing Clustering algorithms Smart grids detection algorithms Artificial intelligence

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Adaptive blind sequence detection for time varying channel

Adaptive blind sequence detection for time varying channel

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IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： M.N. Patwary P. Rapajic Xun Shao I. Oppermann School of Electrical Engineering and Telecommunications University of New South Wales Sydney Australia University of Oulu Finland

In rapidly time varying channels, the channel impulse response estimation might not be successful by the conventional decision directed scheme following the supervised training. The blind sequence detection would be the only solution in these scenarios. In this paper we proposed a new blind sequence detection algorithm, which has a significant robustness against bit ambiguity and whose performance with uncoded sequence is better than that of some existing blind algorithms with coded systems. Bit error performances have been investigated by computer simulation and compared with coded system. A significant gain has been achieved in SNR as much as 6 dB or more.

关键词： detection algorithms Viterbi algorithm Bit error rate Signal to noise ratio Iterative algorithms Australia Robustness Computer errors Computer simulation Maximum likelihood detection

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