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: 这是一个横虚惊概率的程序，也叫CFAR，可以实现雷达图像数据的恒虚警检测-This is a cross false alarm probability procedures, also known as CFAR, can realize the radar image data CFAR detection Platform: |
Size: 1024 |
Author:朱阳阳 |
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Description: A FFT-based partial matched filter (PMF)
acquisition threshold setting method for fast GPS acquisition is
presented. Normal distribution and numerical fitting technique
instead of real decision variable (DV) distribution are used in
derivation to approximate the threshold expression, and the
modification method for the threshold expression is also
presented. The threshold expression is based on the individual
FFT Doppler bin false alarm probability rather than the
convention whole detector false alarm probability. The
proposed threshold expression can be adjusted according to
the false alarm probability, the noncoherent accumulation
(NCA) length and the estimated noise variance. Furthermore
we discuss the implementation of zero-padding FFT with its
advantage and limitation. The performance is superior
compared to the reference method in terms of signal-to-noise
ratio (SNR) when detection and false alarm probabilities are
used as measurement criteria. Platform: |
Size: 280576 |
Author:zohreh |
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Description: 衡虚警检测的程序，不敢独享，与大家分享！希望对大家有帮助-Value false alarm detection procedures, not exclusive, to share with you! We want to help Platform: |
Size: 1024 |
Author:蒋继菲 |
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Description: 提供一个cell-weraging constant false alarm rate (CA-CFAR)的算法，基于信号检测的方法。-We present a method for evaluating the performance of
cell-weraging constant false alarm rate (CA-CFAR) processors
which use the anplitude of echo signals rather than their
squared amplitude Results are presented for the case of Rayleigh
clutler/mise statistics for which some sirnulatiom have been
reported recently by other authors [:I. Detection probabilities are
evaluated for the case of a Rayleigh fluctuating target embedded
in Rayleigh clutter/noise for linear-law CA-CFAR processors.
These results are observed to be practically identical to those of
square-law CA-CFAR processors for which analytical expressions
are readily available. We also verify these observations using
Monte Carlo simulations. The same conelusion is reached in the
case of a nonfluctuating target embedded in Rayleigh clutter/noise
for which only simulation results are presented here. Platform: |
Size: 348160 |
Author:wang zhuo |
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Description: 雷达检测处理仿真程序，包括噪声背景下的检测，波动目标的检测，检测概率与虚警概率的计算-the simulation code for radar detection,including detection in the presence of noise,detection of fluctuating target, probability of false alarm and probability of detection Platform: |
Size: 19456 |
Author:张晓斌 |
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Description: vhdl source code of fire detection system/fire alarm system especially for high rise building?
This among the requirement :-
according to my "fire detection system for tall building" project by using Spartan 3E FPGA, the vhdl program need to include all of dis specification:-
First of all, we ll put sensor/smoke detector each floor in the tall building.
1) alarm ll activated if the sensor/smoke detector sense a fire
2)at the same time, the actuator will activate in order to control such a elevator and any other machines in the building.
3)the controller will display which floor caught by fire and the sensor/smoke detector initial or current temperature.
4)If there is false alarm, we can stop it by push the reset button .-vhdl source code of fire detection system/fire alarm system especially for high rise building?
This is among the requirement :-
according to my "fire detection system for tall building" project by using Spartan 3E FPGA, the vhdl program need to include all of dis specification:-
First of all, we ll put sensor/smoke detector each floor in the tall building.
1) alarm ll activated if the sensor/smoke detector sense a fire
2)at the same time, the actuator will activate in order to control such a elevator and any other machines in the building.
3)the controller will display which floor caught by fire and the sensor/smoke detector initial or current temperature.
4)If there is false alarm, we can stop it by push the reset button . Platform: |
Size: 1024 |
Author:subin |
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Description: 为了提高认知无线电中感知用户对授权用户(主用户) 的检测概率,提出一种新的基于循环
谱统计量的主用户信号检测算法. 该算法利用循环谱离散频域平滑方法,对信号的循环谱在循环频
率处建立合理的检测统计量,然后求解得到对应不同虚警概率的判决门限,以使感知用户能检测信
噪比更低的授权用户信号.-To increase the detection probability of sensing users for licenced users (primary signals) in
the cognitive radio , it put s forward a new primary users signal method based on cyclic spect rum statis2
tics. By using discrete f requency smoothing of cyclic spect rum , this algorithm establishes the reason2
able detection statistics on the cyclic f requency of signal cyclic spect rum , then solves and obtains the
decision threshold correspond to different false alarm probability , as a result , making the sensing users
can detect licenced users signal under lower signal in noise ratio (SNR) . Platform: |
Size: 486400 |
Author:刘德龙 |
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Description: Radar constant false alarm rate(CFAR)detection is addressed in this correspondence.Motivated by the frequently encountered problem of clutter-edge heterogeneity,we modelthe secondary
data as aprobability mixture and impose a hierarchical modelfor the inference problem.A two-stage CFAR detector stucture is proposed. Platform: |
Size: 225280 |
Author:Hansa |
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Description: A new system for web attack detection is presented. It
follows the anomaly-based approach, therefore known and
unknown attacks can be detected. The system relies on a XML file
to classify the incoming requests as normal or anomalous. The
XML file, which is built from only normal traffic, contains a
description of the normal behavior of the target web application
statistically characterized. Any request which deviates from the
normal behavior is considered an attack. The system has been
applied to protect a real web application. An increasing number of
training requests have been used to train the system. Experiments
show that when the XML file has enough information to closely
characterize the normal behavior of the target web application, a
very high detection rate is reached while the false alarm rate
remains very low. Platform: |
Size: 688128 |
Author:keerthi |
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Description: 本程序给出了认知无线电中的能量检测方法，并实现了在不同的虚警概率下的检测性能比较。-This procedure gives the method of energy detection of cognitive radio , and the comparison of detection performance at different false alarm probability . Platform: |
Size: 1024 |
Author:张欢欢 |
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Description: Matlab能量检测在rayleigh衰落信道下的性能仿真,主要为虚警概率和误警概率的关系-Matlab energy detection in rayleigh fading channel the performance simulation, mainly for the false alarm probability and the relationship between the probability of false alarm Platform: |
Size: 5120 |
Author: 苗苗 |
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Description: matlab环境下单个节点能量感知的检测概率与虚警概率-energy of a single node under matlab perceived probability of detection and false alarm probability Platform: |
Size: 7168 |
Author:何智锋 |
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Description: 主动声纳恒虚警检测，包括常见的几种恒虚警检测以及相应的融合检测-Active sonar constant false alarm detection, including several kinds of common constant false alarm detection and the corresponding integration testing Platform: |
Size: 3970048 |
Author:阿松 |
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Search - false alarm detection