【摘要】：遙感技術(shù)利用地物微波輻射特性,能快速、大范圍獲取地表地物信息。遙感器分辨率和計(jì)算機(jī)計(jì)算能力的大幅度提高,為遙感技術(shù)的更加廣泛和深入應(yīng)用成為可能,然而結(jié)合圖形學(xué)理論的遙感圖像處理的計(jì)算機(jī)應(yīng)用卻相對(duì)滯后,阻礙了遙感技術(shù)的推廣。特別是遙感圖像自動(dòng)解譯中的圖像分類技術(shù)是遙感技術(shù)深入應(yīng)用的關(guān)鍵和核心內(nèi)容。因此,從大規(guī)模遙感數(shù)據(jù)中快速、精準(zhǔn)、方便地提取所需要的要素信息已成為一個(gè)重要的課題,而使用遙感技術(shù)獲取土地利用的分類信息成為這方面研究的熱點(diǎn)。 本文通過圖像處理技術(shù)對(duì)遙感圖像信息中各種地物信息的辨識(shí)和提取,進(jìn)而實(shí)現(xiàn)智能化軟件程序所實(shí)現(xiàn)的對(duì)遙感圖像分類在土地利用中研究中的應(yīng)用。本文在完整的遙感圖像處理平臺(tái)ENVI上,對(duì)甘肅省白銀地區(qū)的遙感圖像數(shù)據(jù)按照完整的遙感數(shù)據(jù)處理流程,經(jīng)過圖像預(yù)處理、增強(qiáng)處理以及多波段圖像的融合比較處理,為遙感圖像數(shù)據(jù)的分類提供了較高質(zhì)量的數(shù)據(jù)基礎(chǔ),再經(jīng)過圖像分類,最終獲得了白銀地區(qū)土地利用的變化情況,并對(duì)變化做出相應(yīng)的分析。 通過研究表明,這樣的分類方法對(duì)大規(guī)模遙感數(shù)據(jù)的處理效率高,成本低廉,辨識(shí)準(zhǔn)確率能夠滿足應(yīng)用要求。通過對(duì)遙感圖像的分析處理,揭示了土地利用類型轉(zhuǎn)化的內(nèi)部驅(qū)動(dòng)力機(jī)制,為土地資源的可持續(xù)利用提供寶貴的信息。同時(shí)本研究結(jié)果也可為政府相關(guān)部門在制定經(jīng)濟(jì)策略時(shí)提供有用價(jià)值的土地利用信息。
[Abstract]:Remote sensing technology makes use of the microwave radiation characteristics of ground objects, and can obtain surface features information quickly and in a wide range. It is possible for remote sensing technology to be applied more widely and deeply with the great improvement of resolution and computing ability of remote sensing sensor. However, the computer application of remote sensing image processing combined with graphics theory lags behind. It hinders the popularization of remote sensing technology. In particular, the image classification technology in the automatic interpretation of remote sensing images is the key and core content of the in-depth application of remote sensing technology. Therefore, rapid, accurate and convenient extraction of essential information from large-scale remote sensing data has become an important subject, and the use of remote sensing technology to obtain land-use classification information has become a hot spot in this field. This paper uses image processing technology to identify and extract all kinds of ground information from remote sensing image information, and then realizes the application of remote sensing image classification realized by intelligent software program in the research of land use. In this paper, based on the complete remote sensing image processing platform ENVI, the remote sensing image data in Baiyin area of Gansu Province are processed according to the complete remote sensing data processing flow, after image preprocessing, enhancement processing and multi-band image fusion comparison processing. It provides a high quality data base for the classification of remote sensing image data, and finally obtains the land use change in Baiyin area by image classification, and makes the corresponding analysis of the change. The research shows that the classification method has high efficiency and low cost for large-scale remote sensing data processing, and the accuracy of identification can meet the requirements of application. Through the analysis and processing of remote sensing images, the internal driving force mechanism of land use type transformation is revealed, which provides valuable information for the sustainable utilization of land resources. At the same time, the results of this study can also provide useful land use information for government departments in formulating economic strategies.
【學(xué)位授予單位】：蘭州理工大學(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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