Small false alarm rate test estimation method for point source target detection
A target detection and false alarm rate technology, applied in computing, computer parts, instruments, etc., can solve the problem of small false alarm rate being difficult to test, and achieve the effect of reducing complexity and workload.
Inactive Publication Date: 2009-04-08
HUAZHONG UNIV OF SCI & TECH
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[0008] The purpose of the present invention is to provide a test estimation method for the small false alarm rate of point source target detection, which can overcome the difficulty of testing the small false alarm rate of moving point targets, can test the performance of the algorithm more reasonably and effectively, and reduce the workload , to reduce the computational complexity of the simulation
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[0067] Figure 4 Shown is the distribution map of the diurnal mid-wave infrared cloud image sample set in the image feature space, Figure 5 It is a process diagram of directly searching background images prone to false alarms according to the above steps (5.1)-(5.3), and the possible critical image Image after each round of searching c k Use a circle to mark it in the feature distribution map, and test the image Image with false or missing alarms c，k Marked with an asterisk "*". Figure 5 (a)~(e) are the search results of the first round to the fifth round of images that are prone to false alarms. After five rounds of searching, the successful classification of the sample set is achieved.
[0068] Image 6 It is a process diagram for constructing background images prone to false alarms according to the above steps (8.1)-(8.4), Image 6 (a) The eigenvalue distribution of the edge image is marked with a circle, Image 6 (b) Mark the distribution of eigenvalues of the ne...
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A test estimation method with small false alarm rate of point source target detection, including construct image sample collection, calculate mean value and local statistical standard deviation S of image as characteristic A and B, build the mathematical model of distribution of characteristic A and B, construct sample characteristic space, find the background image prone to occur false alarm, judge whether we can achieve the classification of sample space according to the number of background image found prone to occur false alarm and distribution condition, enter into the step six or seven respectively, expand image classification results to the whole image characteristic space, estimate the detection performance of the entire image space; design new characteristic number of samples according to the distribution of sample collection in feature space, simulate new test sample images. The invention can reduce workload and reduce complexity of the simulated calculation, can be applied in the testing estimation of very low false alarm rate in the task that long-distance infrared cloud moving point target has requirements of high detecting reliability.
Description
technical field [0001] The invention belongs to a digital image processing method and test design, in particular to a test estimation method for a small false alarm rate of point source target detection, which is mainly used in performance evaluation of a moving point target detection algorithm in an infrared cloud image background. Background technique [0002] Almost all literatures discussing detection performance use detection probability and false alarm probability to evaluate detection performance. Schmieder discusses in detail the relationship between target detection probability and image signal-to-noise ratio and contrast in visible light images; see Schmieder D E, Weathersby M R, Detection Performance in Clutter with Variable Resolution.IEEE Transactions on Aerospace and Electronic Systems.Jul 1983.AES-19 (4): 622-630. [0003] Adam discusses the relationship between probability density functions and detection and identification models, see Adam Caromicoli, Thomas...
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IPC IPC(8): G06K9/62G06K9/00
Inventor 胡静张天序
Owner HUAZHONG UNIV OF SCI & TECH