本文選題：遙感影像變化檢測(cè) + 馬爾可夫隨機(jī)場(chǎng)��； 參考：《西安電子科技大學(xué)》2014年碩士論文

【摘要】：隨著遙感技術(shù)的快速發(fā)展，遙感圖像變化檢測(cè)已經(jīng)廣泛應(yīng)用到城市變化，自然災(zāi)害評(píng)估，環(huán)境、地貌監(jiān)測(cè)，農(nóng)林、資源變化，軍事偵察等多個(gè)領(lǐng)域。在總結(jié)遙感影像變化檢測(cè)領(lǐng)域大量自主設(shè)計(jì)創(chuàng)新的優(yōu)秀算法基礎(chǔ)上，以Matlab2009a和Visual C++6.0集成開(kāi)發(fā)環(huán)境為工具，研究開(kāi)發(fā)了一款具有功能齊全的遙感影像變化檢測(cè)應(yīng)用軟件平臺(tái)。 本文探究了基于馬爾可夫隨機(jī)場(chǎng)的遙感影像變化檢測(cè)算法，并重點(diǎn)研究了在開(kāi)發(fā)遙感影像變化檢測(cè)應(yīng)用軟件平臺(tái)過(guò)程當(dāng)中所涉及到的關(guān)鍵技術(shù)。首先，簡(jiǎn)要介紹了馬爾可夫隨機(jī)場(chǎng)基本理論，在此基礎(chǔ)上討論了一種基于馬爾可夫隨機(jī)場(chǎng)的遙感影像變化檢測(cè)算法，最后通過(guò)仿真實(shí)驗(yàn)說(shuō)明了該方法的有效性；其次，介紹了遙感影像變化檢測(cè)應(yīng)用軟件平臺(tái)的開(kāi)發(fā)背景、界面設(shè)計(jì)和功能設(shè)計(jì)；最后重點(diǎn)闡述了遙感影像變化檢測(cè)應(yīng)用軟件平臺(tái)開(kāi)發(fā)過(guò)程中涉及到的關(guān)鍵技術(shù)。軟件平臺(tái)中的關(guān)鍵技術(shù)包括：多線程編程技術(shù)、動(dòng)態(tài)鏈接庫(kù)技術(shù)、Matlab與VC混合編程技術(shù)以及內(nèi)存映射技術(shù)。多線程可以把運(yùn)行時(shí)間長(zhǎng)的任務(wù)放到后臺(tái)去處理，，避免程序運(yùn)行時(shí)死機(jī)的情況發(fā)生；動(dòng)態(tài)鏈接庫(kù)能使程序更易于升級(jí)與維護(hù)；VC與Matlab混合編程技術(shù)將Matlab強(qiáng)大的數(shù)值計(jì)算能力和VC優(yōu)秀的窗口程序開(kāi)發(fā)能力結(jié)合起來(lái)，開(kāi)發(fā)出高質(zhì)量的軟件；利用內(nèi)存映射文件技術(shù)能快速讀取和處理大容量遙感影像數(shù)據(jù)。
[Abstract]:With the rapid development of remote sensing technology, remote sensing image change detection has been widely used in many fields, such as urban change, natural disaster assessment, environment, landform monitoring, agroforestry, resource change, military reconnaissance and so on. On the basis of a large number of innovative algorithms in the field of remote sensing image change detection, Matlab2009a and Visual C++6.0 Integrated development environment is used as a tool to develop a fully functional remote sensing image change detection software platform.
This paper explores the detection algorithm of remote sensing image change based on Markov random field, and focuses on the key technologies involved in developing the application software platform of remote sensing image change detection. Firstly, the basic theory of Markov random field is briefly introduced. On this basis, a Markov random field based on Markov random field is discussed. At last, the effectiveness of the method is illustrated by the simulation experiment. Secondly, the development background, interface design and function design of the application software platform for remote sensing image change detection are introduced. Finally, the key technologies involved in the development of remote sensing image change detection software platform are expounded. The key technologies of the software platform include multi thread programming, dynamic link library technology, Matlab and VC hybrid programming technology and memory mapping technology. Multithreading can handle the task of long running time in the background to avoid the situation of the dead machine when the program runs; the dynamic link library can make the program easier to upgrade and maintain. The hybrid programming technology of VC and Matlab combines the powerful numerical computing power of Matlab and the excellent window program development ability of VC to develop high quality software, and can quickly read and process large capacity remote sensing image data by using memory mapping file technology.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP751

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