本文選題：海上目標(biāo)檢測　切入點(diǎn)：紅外視頻分析　出處：《大連海事大學(xué)》2016年博士論文　論文類型：學(xué)位論文

【摘要】：紅外成像技術(shù)能夠彌補(bǔ)Radar和AIS在海上弱小目標(biāo)探測方面存在的不足,為航海人員防御海盜入侵提供了新的方法。為了保障海上人命和財(cái)產(chǎn)安全,本文提出采用紅外攝像機(jī)對本船周圍的海上目標(biāo)進(jìn)行全天候監(jiān)控,并通過視頻分析技術(shù)檢測、跟蹤和智能地辨識目標(biāo)的行為,判斷其是否為海盜船艇,如果為海盜船艇則向航海人員發(fā)出警報(bào)。在船載多攝像機(jī)布置方面,結(jié)合成像模型,通過分析船載攝像機(jī)的覆蓋范圍和監(jiān)控能力,確定了船載攝相機(jī)的布置方法,建立了船載多攝像機(jī)布置優(yōu)化模型,并利用遺傳算法對模型進(jìn)行了求解,計(jì)算結(jié)果能夠給出一套合理的船載多攝像機(jī)布置方案。在船載紅外圖像增強(qiáng)方面,通過分析圖像的空域和頻域特征,發(fā)現(xiàn)了船載紅外圖像傅里葉頻譜中突出的“十字形”特征,基于此提出了基于“十字形”高斯帶通濾波的圖像增強(qiáng)方法,該方法能有效地抑制海浪雜波,增強(qiáng)目標(biāo)細(xì)節(jié)。在紅外目標(biāo)檢測與跟蹤方面,提出了基于FAST角點(diǎn)檢測和區(qū)域生長的海上紅外目標(biāo)檢測與跟蹤方法,首先通過檢測圖像中的FAST角點(diǎn),確定圖像中存在目標(biāo)或者海浪雜波的區(qū)域,其次利用支持向量機(jī)分類器根據(jù)強(qiáng)度和密集度將FAST角點(diǎn)分成目標(biāo)角點(diǎn)和海浪雜波角點(diǎn),然后以目標(biāo)角點(diǎn)為種子點(diǎn)進(jìn)行區(qū)域生長,并對圖像中的前景像素進(jìn)行數(shù)學(xué)形態(tài)學(xué)處理以得到完整的目標(biāo)結(jié)構(gòu),最后根據(jù)目標(biāo)位置、大小和角點(diǎn)特征完成對目標(biāo)的跟蹤。在海盜船艇智能辨識方面,通過在本船周圍設(shè)置間距不等的警戒圈,以目標(biāo)跨越相鄰警戒圈的方位變化量表示目標(biāo)的行為,提出了基于運(yùn)動特征的海盜船艇智能辨識方法和基于視覺特征的海盜船艇智能辨識方法,并研發(fā)了海盜船艇智能辨識系統(tǒng)�？偟膩碇v,本文解決了基于船載紅外視頻分析的海盜船艇智能辨識系統(tǒng)中關(guān)于攝像機(jī)布置、船載紅外圖像增強(qiáng)、海上紅外目標(biāo)檢測與跟蹤和海盜船艇智能辨識4個方面的問題。
[Abstract]:Infrared imaging technology can make up for the deficiency of Radar and AIS in the detection of small and weak targets at sea, and provide a new method for marine personnel to defend against pirate invasion, in order to ensure the safety of human life and property at sea. In this paper, the infrared camera is used to monitor the marine targets around the ship under all weather conditions, and the behavior of the targets is detected, tracked and intelligently identified by video analysis technology to determine whether the target is a pirate ship or not. If the ship is a pirate ship, an alarm is issued to the navigator. In the case of the arrangement of the multi-camera on board the ship, combining with the imaging model, by analyzing the coverage and monitoring ability of the camera on board the ship, the arrangement method of the camera on board the ship is determined. The optimization model of shipborne multi-camera arrangement is established, and the genetic algorithm is used to solve the model. The result of calculation can give a set of reasonable arrangement scheme of shipborne multi-camera. By analyzing the spatial and frequency-domain features of the images, the prominent "cross" features in the Fourier spectrum of shipborne infrared images are found, and an image enhancement method based on the "cross" Gao Si band-pass filter is proposed. This method can effectively suppress ocean clutter and enhance target details. In infrared target detection and tracking, an infrared target detection and tracking method based on FAST corner detection and region growth is proposed. Firstly, by detecting the FAST corner in the image, the region where the target or wave clutter exists in the image is determined. Secondly, the FAST corner is divided into the target corner and the wave clutter corner according to the intensity and intensity by using the support vector machine classifier. Then the target corner is used as the seed point to grow the region, and the foreground pixels in the image are processed by mathematical morphology to obtain the complete target structure. Finally, according to the location of the target, In the intelligent identification of pirate ships, the behavior of the target is expressed by setting guard rings with different spacing around the ship to show the target's behavior by changing the direction of the target across the adjacent warning ring. An intelligent identification method for pirate ship based on motion feature and an intelligent identification method for pirate ship based on visual feature are proposed, and an intelligent identification system for pirate ship is developed. In this paper, the problems of camera arrangement, infrared image enhancement, infrared target detection and tracking on the sea and intelligent identification of pirate ship are solved in the intelligent identification system of pirate ship based on shipborne infrared video analysis.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2016
【分類號】：TP391.41

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