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SAR IMAGE RECOGNITION BASED ON MULTI-ASPECT OF SHADOW INFORMATION 被引量:2
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作者 杨露菁 郝威 王德石 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2009年第4期320-326,共7页
The traditional synthetic aperture radar(SAR) image recognition techniques focus on the electro magnetic (EM) scattering centers, ignoring the important role of the shadow information on the SAR image recognition.... The traditional synthetic aperture radar(SAR) image recognition techniques focus on the electro magnetic (EM) scattering centers, ignoring the important role of the shadow information on the SAR image recognition. It is difficult to classify targets by the shadow information independently, because the shadow shape is dependent on the radar aspect angle, the depression angle and the resolution. Moreover, the shadow shapes of different targets are similar. When the multiple SAR images of one target from different aspects are available, the performance of the target recognition can be improved. Aimed at the problem, a multi-aspect SAR image recognition technique based on the shadow information is developed. It extracts shadow profiles from SAR images, and takes chain codes as the feature vectors of targets. Then, feature vectors on multiple aspects of the same target are combined with feature sequences, and the hidden Markov model (HMM) is applied to the feature sequences for the target recognition. The simulation result shows the effectiveness of the method. 展开更多
关键词 image recognition synthetic aperture radar (SAR) shadow information chain code
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Sonar Image Target Detection for Underwater Communication System Based on Deep Neural Network
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作者 Lilan Zou Bo Liang +2 位作者 Xu Cheng Shufa Li Cong Lin 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第12期2641-2659,共19页
Target signal acquisition and detection based on sonar images is a challenging task due to the complex underwater environment.In order to solve the problem that some semantic information in sonar images is lost and mo... Target signal acquisition and detection based on sonar images is a challenging task due to the complex underwater environment.In order to solve the problem that some semantic information in sonar images is lost and model detection performance is degraded due to the complex imaging environment,we proposed a more effective and robust target detection framework based on deep learning,which can make full use of the acoustic shadow information in the forward-looking sonar images to assist underwater target detection.Firstly,the weighted box fusion method is adopted to generate a fusion box by weighted fusion of prediction boxes with high confidence,so as to obtain accurate acoustic shadow boxes.Further,the acoustic shadow box is cut down to get the feature map containing the acoustic shadow information,and then the acoustic shadow feature map and the target information feature map are adaptively fused to make full use of the acoustic shadow feature information.In addition,we introduce a threshold processing module to improve the attention of the model to important feature information.Through the underwater sonar dataset provided by Pengcheng Laboratory,the proposed method improved the average accuracy by 3.14%at the IoU threshold of 0.7,which is better than the current traditional target detection model. 展开更多
关键词 Underwater communication intelligent sensor network target detection weighted frame fusion shadow information
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信息化背景下影子跟读法在高职英语听说教学中的应用 被引量:1
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作者 范文锋 《科教文汇》 2020年第23期189-190,共2页
受传统教学方法和教学手段的影响,高职英语听说训练的效果一直不尽如人意。随着信息化教学改革的步步深入,影子跟读法在高职英语听说教学中的应用将会得到有力支撑,有望产生意想不到的效果。该文概述了高职英语听说教学中存在的问题,分... 受传统教学方法和教学手段的影响,高职英语听说训练的效果一直不尽如人意。随着信息化教学改革的步步深入,影子跟读法在高职英语听说教学中的应用将会得到有力支撑,有望产生意想不到的效果。该文概述了高职英语听说教学中存在的问题,分析了影子跟读法在英语听说训练中的作用,描述了影子跟读法在高职英语听说教学中的应用实施过程,以期能够使其更加系统、有效地应用于各大高职院校的英语听说教学中。 展开更多
关键词 信息化 影子跟读法 英语听说教学
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