Comput Math Methods Med - High-resolution remotely sensed small target detection by imitating fly visual perception mechanism.

Tópicos

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{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
{ can(981) present(881) function(850) }
{ health(1844) social(1437) communiti(874) }
{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
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{ use(976) code(926) identifi(902) }
{ use(1733) differ(960) four(931) }
{ drug(1928) target(777) effect(648) }
{ estim(2440) model(1874) function(577) }
{ decis(3086) make(1611) patient(1517) }
{ process(1125) use(805) approach(778) }
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{ method(2212) result(1239) propos(1039) }
{ detect(2391) sensit(1101) algorithm(908) }

Resumo

The difficulty and limitation of small target detection methods for high-resolution remote sensing data have been a recent research hot spot. Inspired by the information capture and processing theory of fly visual system, this paper endeavors to construct a characterized model of information perception and make use of the advantages of fast and accurate small target detection under complex varied nature environment. The proposed model forms a theoretical basis of small target detection for high-resolution remote sensing data. After the comparison of prevailing simulation mechanism behind fly visual systems, we propose a fly-imitated visual system method of information processing for high-resolution remote sensing data. A small target detector and corresponding detection algorithm are designed by simulating the mechanism of information acquisition, compression, and fusion of fly visual system and the function of pool cell and the character of nonlinear self-adaption. Experiments verify the feasibility and rationality of the proposed small target detection model and fly-imitated visual perception method.

Resumo Limpo

difficulti limit small target detect method highresolut remot sens data recent research hot spot inspir inform captur process theori fli visual system paper endeavor construct character model inform percept make use advantag fast accur small target detect complex vari natur environ propos model form theoret basi small target detect highresolut remot sens data comparison prevail simul mechan behind fli visual system propos flyimit visual system method inform process highresolut remot sens data small target detector correspond detect algorithm design simul mechan inform acquisit compress fusion fli visual system function pool cell charact nonlinear selfadapt experi verifi feasibl ration propos small target detect model flyimit visual percept method

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