【摘要】：本文以廣西省北海市的沙田半島的部分區(qū)域為研究對象，以Geoeye-1遙感影像和Landsat7ETM+遙感影像作為數(shù)據(jù)源，經(jīng)圖像處理后，先從研究區(qū)整體上來分析0.5m、2m以及30m之間的地表反射率以及歸一化植被指數(shù)(NDVI)的尺度效應(yīng)，然后進行更為細(xì)致的研究實驗，利用0.5m的Geoeye-1全色波段影像以及野外的觀測數(shù)據(jù)在所研究的實驗區(qū)域內(nèi)選出七種具有代表性的地物樣區(qū)，開展不同下墊面類型的地表反射率和歸一化植被指數(shù)的尺度效應(yīng)分析。本文具體的研究內(nèi)容和取得的研究成果如下： （1）以往的研究尺度效應(yīng)的方法大多是以一種遙感衛(wèi)星影像作為數(shù)據(jù)源進行尺度效應(yīng)的研究，往往在研究某種特定尺度的時候沒有相應(yīng)空間分辨率的衛(wèi)星數(shù)據(jù)作為參考值，而本文則是采用兩種衛(wèi)星實際獲取的遙感數(shù)據(jù)作為尺度效應(yīng)研究中的參考值，并分為研究區(qū)域整體與不同下墊面類型的地表反射率與歸一化植被指數(shù)尺度效應(yīng)研究，，即從整體與相對微觀的角度進行了全面的分析，這使得整個實驗更具嚴(yán)密性和真實性。 （2）在數(shù)據(jù)準(zhǔn)備階段，為了獲取0.5m的影像尺度，充分利用了Geoeye-1衛(wèi)星數(shù)據(jù)中的0.5m全色影像與2m多光譜影像進行影像融合，在融合中運用了基于ENVI中的HSV變換、Brovey變換、Gram-Schmidt變換、主成分(PC)變換、colornormalized (CN)變換以及Pansharpening變換等六種變換方式，并同過定性分析與定量分析從中選出一幅影像質(zhì)量最好的0.5m的融合影像作為研究中的實驗數(shù)據(jù)，并分別對兩種不同的傳感器從光譜特性、成像幾何特性以及時相特性進行了分析，并將兩者的這三種特性進行了必要的歸一化處理以降低實驗研究所產(chǎn)生的差異。 （3）在實驗結(jié)果與分析中，分別從所選擇的研究區(qū)域的整體與不同下墊面類型兩個不同的角度并選用五種評價指標(biāo)進行了較為詳細(xì)的研究與分析。在不同下墊面類型的研究中選取了研究區(qū)中的七種典型地物，包括紅樹林、桉樹林、人工建筑、木薯地、裸地、耕地、水體等，發(fā)現(xiàn)隨著尺度的增加，各種地物的細(xì)節(jié)信息逐漸減少，所選樣本的灰度級逐漸變少，甚至有的信息消失殆盡。并利用空間異質(zhì)指數(shù)來分析產(chǎn)生尺度效應(yīng)的原因。
[Abstract]:In this paper, part of the Shatin Peninsula in Beihai City, Guangxi Province is taken as the research object, and Geoeye-1 remote sensing image and Landsat7ETM remote sensing image are used as the data source. After image processing, the whole area of the study area is analyzed 0.5m, The surface reflectivity between 2m and 30m and the scale effect of normalized vegetation index (NDVI) are studied in more detail. Using 0.5m Geoeye-1 panchromatic band images and field observation data, seven representative terrain samples were selected in the experimental area studied. The scale effect analysis of surface reflectivity and normalized vegetation index for different types of underlying surface was carried out. The specific research contents and achievements of this paper are as follows: (1) in the past, most of the methods used to study scale effects were based on a remote sensing satellite image as a data source to study the scale effects. Often when studying a particular scale, there is no corresponding spatial resolution satellite data as the reference value, but in this paper, the remote sensing data obtained by two kinds of satellites are used as the reference value in the scale effect research. The scale effects of land surface reflectivity and normalized vegetation index of the whole area and different types of underlying surface are studied, that is, the overall and relative microcosmic analysis is carried out, which makes the whole experiment more rigorous and authentic. (2) in the data preparation phase, in order to obtain 0.5m image scale, the 0.5m panchromatic image from Geoeye-1 satellite data and 2m multispectral image are fully utilized for image fusion, and the HSV transform based on ENVI is used in the fusion. Brovey transform, Gram-Schmidt transform, principal component (PC) transform, colornormalized (CN) transform and Pansharpening transform, etc. Through qualitative analysis and quantitative analysis, a 0.5m fusion image with the best image quality is selected as the experimental data in the study, and the spectral characteristics of two different sensors are analyzed respectively. The geometric characteristics of imaging are analyzed in time, and the three characteristics are normalized to reduce the differences in the experimental study. (3) in the experiment result and analysis, the research and analysis are carried out in detail from two different angles of the whole research area and the different type of underlying surface, and five evaluation indexes are selected to carry on the more detailed research and analysis. In the study of different types of underlying surfaces, seven typical features in the study area were selected, including mangroves, eucalyptus forests, artificial buildings, cassava fields, bare fields, cultivated land, water bodies, etc., and found that with the increase of scale, The detail information of all kinds of figures decreases gradually, the gray level of selected samples decreases gradually, and even some of the information vanishes. The spatial heterogeneity index is used to analyze the causes of scale effect.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：P237

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