【摘要】：伴隨經(jīng)濟(jì)的發(fā)展,涉�；顒尤找嬖黾�,海上重大突發(fā)事故時有發(fā)生,那么對海上遇險目標(biāo)進(jìn)行搜尋則尤為重要。由于紅外探測技術(shù)具有探測能力強、作用距離遠(yuǎn)、不受光照條件影響等特點,所以在惡劣海況下對遇險目標(biāo)的搜尋領(lǐng)域得到了廣泛應(yīng)用。研制紅外自動搜尋系統(tǒng)時自動搜尋算法對遇險目標(biāo)的識別起重要作用,自動搜尋算法需要大量不同狀況下實拍的紅外圖像作為測試數(shù)據(jù),然而實拍的工作成本高、測試數(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,在測試自動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)確性對仿真效果至關(guān)重要。本課題即是對典型地表的發(fā)射率獲取方法的研究,對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)庫管理系統(tǒng)的設(shè)計與實現(xiàn)和基于發(fā)射率數(shù)據(jù)查詢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、測量法和校正法。查閱文獻(xiàn)法是通過閱讀相關(guān)參考文獻(xiàn),收集所提供的發(fā)射率等參數(shù)的參考值；測量法則利用IR-2雙波段發(fā)射率測量儀測量典型地表的發(fā)射率；校正法是通過循環(huán)仿真和數(shù)值迭代的方法對發(fā)射率進(jìn)行校正,獲得更逼近真實數(shù)值的發(fā)射率。數(shù)據(jù)庫管理系統(tǒng)主要分為發(fā)射率和表面溫度等參數(shù)錄入、查詢、修改和刪除四個功能模塊。該數(shù)據(jù)庫采用SQL Server 2008作為數(shù)據(jù)庫開發(fā)工具,在Visual Studio 2008平臺下運用MFC設(shè)計人機交互界面并采用ADO數(shù)據(jù)庫訪問方法,構(gòu)成了客戶機／服務(wù)器式體系結(jié)構(gòu)。系統(tǒng)實現(xiàn)后,對整個系統(tǒng)進(jìn)行了調(diào)試,各項功能均得以實現(xiàn)。發(fā)射率數(shù)據(jù)和表面溫度包含不同參數(shù)條件,查詢時根據(jù)條件的優(yōu)先級順序并結(jié)合數(shù)據(jù)庫中數(shù)據(jù)記錄的完備程度,研究物體發(fā)射率數(shù)據(jù)查詢和表面溫度查詢的獲取方法。
[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)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TN215

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本文編號：2413079