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- W2352415952 abstract "When observe space target on the condition of daytime,the space target is submerged in the high-bright skylight back- ground.Meanwhile the angular velocity of the target is very large,which makes the background fluctuate greatly.So the data relativity be- tween frames becomes little and the detection must be completed in single frame of images.In order to detect the space target effectively and extend the observing time span,to aim at the real-time difficult detecting problems of strong background noise,large data quantity, In this paper put forward a detecting algorithm of weak small space target which can be realized easily with hardware.The processing steps of algorithm are:(1) Normalize the target image with flat field images;(2) Enhance the space target in the normalized image with morphology algorithm of Top-Hat;(3) Estimate the background of the normalized images with mean filter;(4) Detect the target in the differentiated image.With this algorithm the strong fluctuation of the background and the shutter effect brought by short time expose can be eliminated effectively in single frame of image.After above filtering the point space target can be detected effectively in the images ac- quired by CCD camera.What's more the algorithms is realized paralleled in hardware so the processing time is reduced obviously and satisfy the demand of high frame frequency.The experimental result,with measured data shows that the detecting probability of above al- gorithm is better than single filtering method.Furthermore it can reliably detect the point space target which SNR is about 2 and owns good real-time performance." @default.
- W2352415952 created "2016-06-24" @default.
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- W2352415952 date "2008-01-01" @default.
- W2352415952 modified "2023-09-23" @default.
- W2352415952 title "A new point target detecting method in strong background and its hardware realization" @default.
- W2352415952 hasPublicationYear "2008" @default.
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