Description: 针对航空照片中自动目标识别的复杂性．该文提出了一种基于神经网络的自动目标识别算法，
算法包括检测和虚警排除两个阶段．检1删阶段是在整幅区域中i挂行快速搜寻．找出所有可能的目标 虚
警排障阶段是对检测阶段得到的结果进行进一步的验证， 在尽可能保留全部真目标的前提下，将伪目标
排除．实验结果证明了算法的可行性．
关键词 神经网络，航空照片， 自动目标识别-against aerial photographs Automatic Target Recognition of complexity. This paper presents a neural network-based automatic target recognition algorithm, the algorithm including the detection and false alarm ruled out in two stages. Frederick stage is a cut in the whole region i linked to fast-track the search. To identify all possible targets false alarm remove obstacles stage of the testing phase results further verification, reservations at all possible real targets on the premise that goal will be to exclude false. Experimental results demonstrate the feasibility of the algorithm. Keywords neural network, aerial photographs, automatic target recognition Platform: |
Size: 133911 |
Author:陈文清 |
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Description: Automatic target detection in SAR image is the first stage in the ATR (Automatic Target Recognition) system. It is very important to improve the computing efficiency of the whole system. A conventional automatic target detection method is CFAR (constant false alarm rate) which is based only on the amplitude, discards the phase and thereby sacrifices half information of the SAR imagery. Almost each CFAR brings a large number of false alarms. 2L-IHP (two-look internal Hermitian product) is a new method which exploits the phase and amplitude information. In this paper, both CFAR and 2L-IHP algotithms are compared with an emphasis on 2L-IHP. The 2L-IHP algorithm for target detection is discussed briefly first. In order to apply it widely, it is modified to circumvent the constraint of the data. For polarimetric SAR images, PWF (Polarimetric Whitening Filter) is used to generate an image for target detection. According to ADTS data set, these algorithms are analyzed and evaluated respectively. C-、L- and P- band AIRSAR data are also processed, and some tentative conclusions are derived: Considering the penetrating ability of the microwave, L-band got the best detection accuracy of the three bands; HH polarization performed better for target detection than VV and HV polarization; Moreover, because more information is contained in polarimetric SAR data, here, we conclude that polarimetric SAR data have advantages over single polarized SAR data when they are applied for target detection. But all these conclusions need further validation. Platform: |
Size: 288371 |
Author:xbtown@126.com |
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Description: 针对航空照片中自动目标识别的复杂性．该文提出了一种基于神经网络的自动目标识别算法，
算法包括检测和虚警排除两个阶段．检1删阶段是在整幅区域中i挂行快速搜寻．找出所有可能的目标 虚
警排障阶段是对检测阶段得到的结果进行进一步的验证， 在尽可能保留全部真目标的前提下，将伪目标
排除．实验结果证明了算法的可行性．
关键词 神经网络，航空照片， 自动目标识别-against aerial photographs Automatic Target Recognition of complexity. This paper presents a neural network-based automatic target recognition algorithm, the algorithm including the detection and false alarm ruled out in two stages. Frederick stage is a cut in the whole region i linked to fast-track the search. To identify all possible targets false alarm remove obstacles stage of the testing phase results further verification, reservations at all possible real targets on the premise that goal will be to exclude false. Experimental results demonstrate the feasibility of the algorithm. Keywords neural network, aerial photographs, automatic target recognition Platform: |
Size: 134144 |
Author:陈文清 |
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Description: SAR图像目标检测是SAR ATR(自动目标识别)的关键步骤,也是近年来SAR图像解译应用的一大研究热点.在广泛文献调研的基础上,本文从SAR图像目标检测的历史沿革、研究现状开始,综述了SAR图像目标检测的研究进展及存在问题-SAR image target detection is the SAR ATR (automatic target recognition) a critical step in SAR image interpretation is also applied in recent years, a major research focus. In the extensive literature on the basis of research, this article from the SAR image target detection to the history and study of the status quo began an overview of SAR image target detection Progress and Problems Platform: |
Size: 1040384 |
Author:黄超 |
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Description: This method is used for tracking wavelet/optical flow-based
detection for automatic target recognition in the following paper:
Dessauer, M. and Dua S. “Wavelet-based optical flow object detection, motion estimation, and tracking on moving vehicles” Platform: |
Size: 1355776 |
Author:MemoSergey |
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Description: 目标识别的matlab源码，有源代码和论文，有需要的可以下来看看。-The application of automatic target recognition technology is a critical element of robotic warfare. ATR systems are used in unmanned aerial vehicles and cruise missiles. General Electric provides an Automatic Target Recognition Unit (ATRU) for the Standoff Land Attack Missile, which processes pre-launch and post-launch targeting data, allows high speed video comparison, and enables the SLAM-ER Missile to be truly "Fire and Forget".
Platform: |
Size: 1264640 |
Author:li |
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Description: 成像自动目标识别，张天序 。系统的论述了成像条件下自动目标识别的理论、方法与技术问题。-Discussion of the imaging system, automatic target recognition under the condition of the theory, methods and technical issues. Platform: |
Size: 20748288 |
Author:Libra Chow |
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Description: RFID射频识别是一种非接触式的自动识别技术，它通过射频信号自动识别目标对象并获取相关数据，识别工作无须人工干预，可工作于各种恶劣环境。RFID技术可识别高速运动物体并可同时识别多个标签， 操作快捷方便。-Radio Frequency Identification RFID is a non-contact automatic identification technology, which RF signal automatic target recognition and access to relevant data, identification of work without human intervention, can work in a variety of harsh environments. Identification RFID technology can speed moving objects can also recognize multiple tags, the operation quickly and conveniently Platform: |
Size: 229376 |
Author:Micache Sopoo |
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Description: 本文提出了一种基于图像配准的自动目标识别算法,图像配准算法采用基于归一化互信息相似性判据,并采用模糊自适应粒子群优化算法作为搜索策略。在图像精确配准的基础上,通过图像间的相互转换,间接实现了目标的准确识别。仿真试验结果表明,该方法可以实现复杂背景下目标的准确识别。
-This paper presents a novel image registration algorithm for automatic target recognition, image registration algorithm based on normalized mutual information similarity criterion, and the fuzzy adaptive particle swarm optimization algorithm as search strategy. In the image on the basis of accurate registration, through the conversion between images, the accuracy of indirect recognition to achieve the target. Simulation results show that the complex background can accurately identify targets. Platform: |
Size: 355328 |
Author:wenping |
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Description: 一篇用adaboost实现自动目标识别的文章。采用MSTAR数据库作为分类对象。-Adaboost an automatic target recognition with an article. Classification using MSTAR database as objects. Platform: |
Size: 305152 |
Author:zhang |
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Description: 近些年，由于射频技术发展迅猛，应答器有了新的说法和含义，又被叫做智能标签或标签。RFID电子电梯合格证的阅读器（读写器）通过天线与RFID电子标签进行无线通信，可以实现对标签识别码和内存数据的读出或写入操作。典型的阅读器包含有高频模块（发送器和接收器）、控制单元以及阅读器天线。RFID射频识别是一种非接触式的自动识别技术，它通过射频信号自动识别目标对象并获取相关数据，识别工作无需人工干预，可工作于各种恶劣环境。RFID技术可识别高速运动物体并可同时识别多个标签，操作快捷方便。RFID是一种简单的无线系统，只有两个基本器件，该系统用于控制、检测和跟踪物体。系统由一个询问器（或阅读器）和很多应答器（或标签）组成。-In recent years, the rapid development of the radio frequency technology, the transponder has a new argument and meaning, also called smart tags or labels. The RFID reader elevator certificate (reader) through the antenna and the RFID tag for wireless communications, can be achieved for tag identification code and the memory data read or write operations. A typical reader includes a frequency module (transmitter and receiver), the control unit and the reader antenna. RFID radio frequency identification is a non-contact automatic identification technology that uses radio frequency signal automatic target recognition and access to relevant data, identifying work without human intervention, can work in a variety of harsh environments. RFID technology can identify fast moving objects can also identify multiple tags, the operation quickly and conveniently. RFID is a simple wireless system, only two basic components, the system for control, object detection and tracking. System consists of a Platform: |
Size: 491520 |
Author:php |
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Description: Automatic target recognition (ATR), is the ability for an algorithm or device to recognize targets or objects based on data obtained from sensors. Platform: |
Size: 11264 |
Author:Gowri |
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Search - automatic target recognition