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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets"

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Maritime targets classification based on CNN using Gaofen-3 SAR images

Maritime targets classification based on CNN using Gaofen-3 ...

引用

IET International Radar conference 2018, IRC 2018

作者： Ma, Mengyuan Zhang, Haojie Sun, Xiaokun Chen, Jie School of Electronic and Information Engineering Beihang University Beijing China Beijing Institute of Electronic System Engineering China Beijing Institute of Remote Sensing Information China

The classification and detection of maritime targets are widely used in shipping navigation and military fields. With the development of spaceborne synthetic aperture radar (SAR) technology, more and more very high-resolution SAR images can be acquired for maritime targets recognition. However, due to the different imaging mechanisms between SAR images and optical images, it is difficult and laborious to interpret SAR images manually. This study uses a modified Alexnet structure to realise maritime targets classification on the Gaofen-3 spaceborne SAR images. The maritime targets dataset (MTD), including boats, cargo ships, container ships, windmills, oil tankers, and iron towers, is conducted. Moreover, the proposed convolution neural networks (CNNs) structure is trained and tested on the MTD. Experimental results show that the model can get an accuracy of 92.10% in classifying the six kinds of targets, and the performance is superior compared with other CNNs and traditional supportive vector machine algorithms. © This is an open access article published by the IET under the Creative Commons Attribution License (http://***/licenses/by/3.0/)

关键词： Geometrical optics

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Application of Lifting Wavelet Transform in Feature Extraction of Time Series data 16h

Application of Lifting Wavelet Transform in Feature Extracti...

引用

16th International conference on Information processing, ICInPro 2021

作者： Khanna, Manju Mendiratta, J.K. MVJ College of Engineering Bangalore India CIIRC Jyothi Institute of Technology Bangalore India

ISBN: (纸本)9783030912437

A technique of feature extraction used for wind speed, power planning of small grids with hybrid power sources. In the past many techniques, i.e., SVD, FFT and DWT tried for feature extraction and cluster formation. The second-generation wavelet transforms, i.e., Lifting wavelet transform has been in use in diverse application, with much better performance. Motivation to carry out the present work intended for implementation of the algorithm of feature extraction and cluster formation in real time application. The technique applied based upon random number theory with central mean theorem and inequalities to find centroids of clusters of wavelet coefficients for feature extraction. The algorithm implementation carried out on data taken from National Energy for Research Laboratory. The datasets are spread across a period of one year. Results demonstrate the recovery of maximum energy of the signal with minimum error as compared to original data at the third level. It justifies the selection of third level of resolution, aimed at maximum signal energy recovery from the featured data and comparison of statistical results. © 2021, Springer Nature Switzerland AG.

关键词： Singular value decomposition

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Combined Airborne Sensors in Urban Environment

Combined Airborne Sensors in Urban Environment

引用

conference on Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII;and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing

作者： Dimmeler, Alwin Schilling, Hendrik Shimoni, Michal Bulatov, Dimitri Middelmann, Wolfgang Fraunhofer Inst Optron Syst Technol & Image Explo Gutleuthausstr 1 D-76275 Ettlingen Germany Royal Mil Acad CISS RMA Signal & Image Ctr Brussels Belgium

ISBN: (纸本)9780819497666

Military operations in urban areas became more relevant in the past decades. Detailed situation awareness in these complex environments is crucial for successful operations. Within the EDA (European Defence Agency) project on "Detection in Urban scenario using Combined Airborne imaging Sensors" (DUCAS) an extensive data set of hyperspectral and high spatial resolution data as well as three dimensional (3D) laser data was generated in a common field trial in the city of Zeebrugge, Belgium, in the year 2011. In the frame of DUCAS, methods were developed at two levels of processing. In the first level, single sensor data were used for land cover mapping and the detection of targets of interest (i.e. personnel, vehicles and objects). In the second level, data fusion was applied at pixel level as well as information level to investigate the benefits of combining sensor systems in an operational context. Providing data for mission planning and mapping is an important task for aerial reconnaissance and it includes the creation or the update of high quality 2D and 3D maps. In DUCAS, semi-automatic methods and a wide range of sensor data (hyperspectral, LIDAR, high resolution orthophotos and video data) were used for the creation of highly detailed land cover maps as well as urban terrain models. Combining the diverse information gained by different sensors increases the information content and the quality of the extracted information. In this paper we will present advanced methods for the creation of 2D/3D maps, show results and the benefit of fusing multi-sensor data.

关键词： hyperspectral LIDAR spatial resolution 3D spectral matching classification data fusion terrain model land cover

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Linear Block Coding for Efficient Beam Discovery in Millimeter Wave Communication Networks

Linear Block Coding for Efficient Beam Discovery in Millimet...

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37th IEEE conference on Computer Communications (IEEE INFOCOM)

作者： Shabara, Yahia Koksal, C. Emre Ekici, Eylem Ohio State Univ Dept Elect & Comp Engn Columbus OH 43210 USA

ISBN: (纸本)9781538641286

The surge in mobile broadband data demands is expected to surpass the available spectrum capacity below 6 GHz. This expectation has prompted the exploration of millimeter wave (mm-wave) frequency bands as a candidate technology for next generation wireless networks. However, numerous challenges to deploying mm-wave communication systems, including channel estimation, need to be met before practical deployments are possible. This work addresses the mm-wave channel estimation problem and treats it as a beam discovery problem in which locating beams with strong path reflectors is analogous to locating errors in linear block codes. We show that a significantly small number of measurements (compared to the original dimensions of the channel matrix) is sufficient to reliably estimate the channel. We also show that this can be achieved using a simple and energy efficient transceiver architecture.

关键词： Channel estimation Receivers Sparse matrices Block codes Sensors Measurement uncertainty Array signal processing

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Evaluation of an orthogonal beamforming procedure using real data

Evaluation of an orthogonal beamforming procedure using real...

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International conference on Acoustics, Speech, and signal processing (ICASSP)

作者： H. Schneider FGAN-Forschungsinstitut fur Hochfrequenzphysik Wachtberg-Werthhoven Germany

We report on the application of an orthogonal beam-forming procedure to real data received at a linear array of equally spaced hydrophones in shallow water. This is a high resolution method to determine the directions of incoming wavefronts. With simulated data it has often been shown to yield improved angular resolution compared to conventional techniques. Here we present results concerning the resolution capability, number of detectable targets, and processing time when it is applied to real passive SONAR data. We report on the limited applicability and reliability of multivariate statistical tests which are proposed to achieve the proper separation of the coherent signal contributions from the total signal, which is the method's crucial step. We conclude that these tests have to be modified in order to cope with real data.

关键词： Array signal processing Sonar detection Sensor arrays Frequency signal resolution Testing Acoustic sensors Acoustic beams Covariance matrix Sonar equipment

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Proceedings - 2012 6th International conference on Genetic and Evolutionary Computing, ICGEC 2012

Proceedings - 2012 6th International Conference on Genetic a...

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2012 6th International conference on Genetic and Evolutionary Computing, ICGEC 2012

ISBN: (纸本)9780769547633

The proceedings contain 144 papers. The topics discussed include: a robust texture-based background subtraction algorithm for moving object detection in video sequences;evolvable hardware image filters with discriminations of noise patterns;verifiable visual cryptography;an intelligent hand gesture extraction and recognition system for home care application;design of fuzzy quality control charts for attributes based on triangular fuzzy numbers;combining fuzzy AHP and association rule to evaluate the activity processes of e-learning system;activities and event-driven-based role engineering;path planning based on Bezier curve for robot swarms;classification of leukemia gene expression data using particle swarm optimization;symbolic small-signal analysis of various amplifiers;and two phased decompression scheme for quality improvement of vector quantized images.

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A Method of a small-Sized Robotic System Direction Finding Using a Mobile Observer in Rugged Topography Conditions 30

A Method of a Small-Sized Robotic System Direction Finding U...

引用

30th Saint Petersburg International conference on Integrated Navigation Systems, ICINS 2023

作者： Martynova, Liubov Lantsov, Konstantin Lantsov, Valentin Koryakin, Alexandr Concern CSRI Elektropribor JSC St. Petersburg Russia Saint-Petersburg Russia

ISBN: (纸本)9785919950950

The problem of determining the bearing of an emitter located on board a small-sized seaborne or airborne robotic systems is considered. When using a receiver with omnidirectional antennas in the noise direction-finding mode, we observe the bearing on an emitter located on board the robotic system. In case of rugged sea bed topography, onshore rocks or restrained urban conditions, there are large errors in bearing measurements, which are caused by shadow areas, emitter signal attenuation, scattering and multiple reflections, forming multibeam fields with complicated interference structure and sharp spatial change of the signal level. It is impossible to decrease an error in the emitter direction finding by improving the hardware because of the restrictions on the receiver cost, mobility and efficient power consumption. Another way to decrease the emitter direction-finding error is proper selection of a place for locating the receiver and the improvement of methods for processing the data entering the receiver. All this defines the relevance of the research aimed at reducing the emitter direction-finding error in the rugged topography conditions. The proposed method of direction finding of a robotic systems allows determining the requirements for the hardware of a mobile receiver and its location depending on the parameters of the receiver and signal attenuation in difficult terrain. Dependences of the influence of the background and obvious obstacles, their reflective surfaces on the signal level at the receiver input are obtained. Under such conditions of multipath, it is proposed to take the direction of arrival of the signal with the maximum level as the bearing with an estimate of the error in determining the bearing. To reduce the error in determining the bearing, it is proposed to use the Kalman filter, and according to the results of the simulation, a decrease in the error in determining the bearing from 10 degrees to tenths of a degree was determined when usi

关键词： Errors

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data Compression Algorithm of Power System 6th

Data Compression Algorithm of Power System

引用

6th International conference on Innovative Computing, IC 2023

作者： Zhang, Xinyu Xia, Yanduo Quan, Shuangwu Zhang, Guozhi Dagang Oilfield Electric Power Company Tianjin3002800 China

ISBN: (纸本)9789819920914

data compression refers to the use of software performance to improve system utilization without increasing hardware costs. Therefore, in the process of transmitting a large amount of power data, only an appropriate data compression algorithm can reduce the cost of data storage and communication and meet the user's requirements for high-speed data transmission. Aiming at the reconstruction and coding of power data signals, this paper proposes a Huffman compression algorithm, which can compress power energy signals and power quality disturbance signals. As a result, experiments show that the mean square error of the Huffman compression algorithm is small, the signal-to-noise ratio is large, and the compression effect is good. In view of the characteristics of redundant information of power data, this paper proposes a dictionary-based compression algorithm to compress it by searching for redundant feature formats. The advantage of this data compression method is that it can be well compressed according to the characteristics of redundant information in power system data format and units, and the compressed text can keep good format and original useful data. The measured compression ratio of this algorithm is not less than 30%. On the premise that the compression effect is good, the amount of program consumed is relatively small compared to the entire test data, and it is easy to implement on the hardware of the store's data processing system. data compression reduces the occupation of data storage space, thereby reducing the time required to transmit data. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Digital storage

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Research on Computer Aided Translation Transfer Based on Intelligent Speech Recognition Technology 9th

Research on Computer Aided Translation Transfer Based on Int...

引用

9th International conference on signal and Information processing, Network and Computers, ICSINC 2021

作者： Ma, Xueshuo School of Foreign Languages Jilin Institute of Chemical Technology Jilin Jilin China

ISBN: (纸本)9789811947742

It is not to master mass data information, but to carry out professional processing of these data of means that the strategic significance of big data technology is supposed to see. In the age of big data, a rapid development on machine translation, computer-aided translation, intelligent speech transliteration and recognition technologies have shown. Translation technology has changed from human-based to cloud-shared. Ubiquitous translation technology and the expanding language service market change every time. Therefore, it is necessary to fully recognize the relationship between the human and machine, to improve the translation level and efficiency. With the help of big data, a detailed and comprehensive understanding of various cultural backgrounds can be achieved. Moreover, distinctive, and appropriate translation methods and theories for different types of source texts are going to be summed up. This paper studies the subject migration as a new translation method by taking cases from the Big Bang Theory as the examples. As a result, suggestions to improve subtitle translation quality of American sitcoms is stated. Three different modes of subject migration are also introduced including subject appearance, subject disappearance, and subject transference. Computer-aided translation will be the real future of translation and interpreting with the help of the big data technology, though, small mistakes still exist. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Big data

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Slow-moving Target Detection Method with FDA-MIMO Radar Based on Doppler-spreading Effect

Slow-moving Target Detection Method with FDA-MIMO Radar Base...

引用

signal, Information and data processing (ICSIDP), IEEE International conference on

作者： Ding Wang Shunsheng Zhang Libing Huang Research Institute of Electronic Science and Technology University of Electronic Science and Technology of China Chengdu China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

It is difficult to distinguish the Doppler frequency between clutter and slow-moving targets when airborne radar is looking down, which makes it difficult to perform detection. To solve this problem, an frequency diverse array multiple-input multiple-output (FDA-MIMO) radar slow-moving target detection method Doppler-spreading (DS) effect is proposed in this paper. FDA-MIMO radar clutter and ground moving target signal models are established. Using DS effect, clutter and slow-moving targets are separated in the Doppler domain, and then clutter suppression and target detection are effective. Simulation results confirm the efficacy of the proposed method.

关键词： Simulation Radar detection Object detection data processing Radar signal processing Frequency diversity Doppler radar Doppler effect Clutter MIMO communication

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