【摘要】：伴隨經(jīng)濟(jì)的發(fā)展,涉海活動(dòng)日益增加,海上重大突發(fā)事故時(shí)有發(fā)生,那么對(duì)海上遇險(xiǎn)目標(biāo)進(jìn)行搜尋則尤為重要。由于紅外探測(cè)技術(shù)具有探測(cè)能力強(qiáng)、作用距離遠(yuǎn)、不受光照條件影響等特點(diǎn),所以在惡劣海況下對(duì)遇險(xiǎn)目標(biāo)的搜尋領(lǐng)域得到了廣泛應(yīng)用。研制紅外自動(dòng)搜尋系統(tǒng)時(shí)自動(dòng)搜尋算法對(duì)遇險(xiǎn)目標(biāo)的識(shí)別起重要作用,自動(dòng)搜尋算法需要大量不同狀況下實(shí)拍的紅外圖像作為測(cè)試數(shù)據(jù),然而實(shí)拍的工作成本高、測(cè)試數(shù)據(jù)有局限性,紅外圖像仿真是解決這一難題的有效途徑,在測(cè)試自動(dòng)搜尋算法中有重要的地位。在紅外圖像仿真系統(tǒng)中發(fā)射率是表征目標(biāo)表面輻射能力的重要參數(shù),發(fā)射率的準(zhǔn)確性對(duì)仿真效果至關(guān)重要。本課題即是對(duì)典型地表的發(fā)射率獲取方法的研究,對(duì)紅外圖像仿真具有重要意義。本文主要從典型地表的發(fā)射率數(shù)據(jù)源獲取方法、數(shù)據(jù)庫(kù)管理系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)和基于發(fā)射率數(shù)據(jù)查詢(xún)的獲取方法三方面進(jìn)行闡述。發(fā)射率的收集采用了三種方法：分別是查閱文獻(xiàn)法、測(cè)量法和校正法。查閱文獻(xiàn)法是通過(guò)閱讀相關(guān)參考文獻(xiàn),收集所提供的發(fā)射率等參數(shù)的參考值；測(cè)量法則利用IR-2雙波段發(fā)射率測(cè)量?jī)x測(cè)量典型地表的發(fā)射率；校正法是通過(guò)循環(huán)仿真和數(shù)值迭代的方法對(duì)發(fā)射率進(jìn)行校正,獲得更逼近真實(shí)數(shù)值的發(fā)射率。數(shù)據(jù)庫(kù)管理系統(tǒng)主要分為發(fā)射率和表面溫度等參數(shù)錄入、查詢(xún)、修改和刪除四個(gè)功能模塊。該數(shù)據(jù)庫(kù)采用SQL Server 2008作為數(shù)據(jù)庫(kù)開(kāi)發(fā)工具,在Visual Studio 2008平臺(tái)下運(yùn)用MFC設(shè)計(jì)人機(jī)交互界面并采用ADO數(shù)據(jù)庫(kù)訪(fǎng)問(wèn)方法,構(gòu)成了客戶(hù)機(jī)／服務(wù)器式體系結(jié)構(gòu)。系統(tǒng)實(shí)現(xiàn)后,對(duì)整個(gè)系統(tǒng)進(jìn)行了調(diào)試,各項(xiàng)功能均得以實(shí)現(xiàn)。發(fā)射率數(shù)據(jù)和表面溫度包含不同參數(shù)條件,查詢(xún)時(shí)根據(jù)條件的優(yōu)先級(jí)順序并結(jié)合數(shù)據(jù)庫(kù)中數(shù)據(jù)記錄的完備程度,研究物體發(fā)射率數(shù)據(jù)查詢(xún)和表面溫度查詢(xún)的獲取方法。
[Abstract]:With the development of economy, the activities related to the sea are increasing day by day, and serious accidents occur at sea, so it is very important to search for the targets in distress at sea. Because infrared detection technology has the characteristics of strong detection ability, long range and not affected by illumination conditions, it has been widely used in the field of searching distress targets under bad sea conditions. The automatic search algorithm plays an important role in the recognition of targets in distress when the infrared automatic search system is developed. The automatic search algorithm needs a large number of real infrared images taken under different conditions as test data, but the work cost of real shooting is high. The infrared image simulation is an effective way to solve this problem and plays an important role in the test automatic search algorithm. Emissivity is an important parameter in infrared image simulation system, and the accuracy of emissivity is very important to the simulation effect. This topic is to study the emissivity acquisition method of typical surface, which is of great significance to infrared image simulation. In this paper, the emissivity data source acquisition method of typical surface, the design and implementation of database management system and the acquisition method based on emissivity data query are discussed. Three methods are used to collect emissivity: literature review, measurement and correction. The reference value of the parameters such as emissivity is collected by reading the relevant references, and the emissivity of typical surface is measured by IR-2 dual-band emissivity measuring instrument. The emissivity is corrected by cyclic simulation and numerical iteration to obtain emissivity which is closer to the real value. The database management system is divided into four function modules, such as emissivity and surface temperature input, query, modification and deletion. The database uses SQL Server 2008 as the database development tool, uses the MFC to design the man-machine interface under the Visual Studio 2008 platform, and adopts the ADO database access method, which forms the client / server type system structure. After the system is realized, the whole system is debugged and all functions are realized. Emissivity data and surface temperature contain different parameter conditions. According to the priority order of the conditions and the completeness of data records in the database, the acquisition methods of object emissivity data query and surface temperature query are studied.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TN215

【參考文獻(xiàn)】

相關(guān)期刊論文 前7條

1 {9森宣文,江濤;通過(guò)測(cè)定反射率、透射率計(jì)算比輻射率[J];紅外;2001年01期

2 ;上海技術(shù)物理所研制成功IR-2型雙波段發(fā)射率測(cè)量?jī)x[J];紅外;2004年10期

3 賈建科;張麟兮;鄭春來(lái);;基于Vega的場(chǎng)景紅外成像仿真研究[J];紅外技術(shù);2006年03期

4 戴景民;宋揚(yáng);王宗偉;;光譜發(fā)射率測(cè)量技術(shù)[J];紅外與激光工程;2009年04期

5 戴景民;王新北;;材料發(fā)射率測(cè)量技術(shù)及其應(yīng)用[J];計(jì)量學(xué)報(bào);2007年03期

6 劉連偉;楊淼淼;樊宏杰;許振領(lǐng);姚梅;;一種表面發(fā)射率的測(cè)量方法研究[J];激光與紅外;2014年02期

7 劉曉;易維寧;喬延利;崔文煜;;基于低空遙感系統(tǒng)的星載光學(xué)遙感器成像仿真[J];紅外與激光工程;2014年01期

相關(guān)博士學(xué)位論文 前1條

1 江照意;典型目標(biāo)場(chǎng)景的紅外成像仿真研究[D];浙江大學(xué);2007年

相關(guān)碩士學(xué)位論文 前1條

1 趙泉?dú)J;200℃以下輻射溫度計(jì)校準(zhǔn)及發(fā)射率測(cè)量技術(shù)的研究[D];中國(guó)計(jì)量學(xué)院;2013年

，

本文編號(hào)：2413079