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《基于卷積神經(jīng)網(wǎng)絡(luò)的光學(xué)遙感圖像中機(jī)場目標(biāo)識別研究》由會員上傳分享,免費(fèi)在線閱讀,更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫。
1、分類號TP302.1學(xué)號14060065UDC004.93密級公開工學(xué)碩士學(xué)位論文基于卷積神經(jīng)網(wǎng)絡(luò)的光學(xué)遙感圖像中機(jī)場目標(biāo)識別研究碩士生姓名張鵬學(xué)科專業(yè)計算機(jī)科學(xué)與技術(shù)研究方向計算機(jī)視覺處理指導(dǎo)教師竇勇研究員國防科學(xué)技術(shù)大學(xué)研究生院二〇一六年十一月AirportDetectioninOpticalRemoteSensingImageswithConvolutionNeuralNetworkCandidate:ZhangPengSupervisor:Prof.DouYongAthesisSubmi
2、ttedinpartialfulfillmentoftherequirementsforthedegreeofMasterofEngineeringinComputerScienceandTechnologyGraduateSchoolofNationalUniversityofDefenseTechnologyChangsha,Hunan,P.R.ChinaNovember,2016ScannedbyCamScanner國防科學(xué)技術(shù)大學(xué)研究生院工學(xué)碩士學(xué)位論文目錄摘要.............
3、.............................................................................................iAbstract........................................................................................................ii第一章緒論.....................................
4、..........................................................11.1課題研究背景.................................................................................................11.1.1光學(xué)遙感圖像處理的研究背景和意義..............................................11.1.2光學(xué)遙感圖像中目標(biāo)識別
5、的研究背景和意義..................................21.1.3卷積神經(jīng)網(wǎng)絡(luò)的研究背景和意義......................................................21.2課題研究現(xiàn)狀.................................................................................................31.2.1光學(xué)遙感圖像關(guān)鍵目標(biāo)檢測識別的研究現(xiàn)狀..
6、................................31.2.2卷積神經(jīng)網(wǎng)絡(luò)在目標(biāo)檢測識別領(lǐng)域的研究現(xiàn)狀..............................41.2.3光學(xué)遙感圖像中機(jī)場目標(biāo)檢測識別的研究現(xiàn)狀..............................61.3課題研究內(nèi)容................................................................................................
7、.71.4論文結(jié)構(gòu).........................................................................................................9第二章基于多淺層特征的機(jī)場目標(biāo)識別算法...........................................102.1候選窗口提取方法............................................................
8、...........................102.1.1滑窗....................................................................................................112.1.2選擇性搜索(SelectiveSearch).......................................................112.1.3BING...................