本文選題：城市熱島 + 混合像元�。� 參考：《山東建筑大學(xué)》2015年碩士論文

【摘要】：道路交通網(wǎng)絡(luò)信息是地理信息系統(tǒng)重要的數(shù)據(jù)組成部分,同時(shí)也是城市發(fā)展過程中數(shù)量和規(guī)模更新最快的地理信息。道路交通的發(fā)展推進(jìn)了城市經(jīng)濟(jì)的發(fā)展,便利了人們的出行,然而,下墊面為不透水面性質(zhì)的道路網(wǎng)絡(luò)使得城市的熱力環(huán)境大大改變,道路表面的高溫使得城市熱島的效應(yīng)加劇,對人們的生活環(huán)境造成了一定的影響。關(guān)于道路對城市熱島效應(yīng)的影響,前人主要將道路作為不透水面對城市熱島效應(yīng)的影響進(jìn)行研究,本文將道路單獨(dú)作為一種影響因素,研究道路交通網(wǎng)絡(luò)和城市熱島的關(guān)系。本文首先總結(jié)了前人對于高清分辨率影像道路的分割和提取方法,建立了高清分辨率影像道路提取的一般流程,在此基礎(chǔ)上,綜合應(yīng)用了數(shù)學(xué)形態(tài)學(xué)和面向?qū)ο蟮姆椒▽?jì)南市高清分辨率影像進(jìn)行了自動(dòng)提取。通過對照原始高清分辨率影像數(shù)據(jù)表明,利用此方法進(jìn)行高清分辨率影像道路提取具有較高的精度,且速度快,可行性強(qiáng)。其次,利用單窗算法進(jìn)行城市地表溫度的反演。本研究提出利用混合像元線性分解的方法計(jì)算地表像元的比輻射率,然后分別利用NDVI經(jīng)驗(yàn)公式計(jì)算出的比輻射率和混合像元線性分解計(jì)算出的比輻射率進(jìn)行城市地表溫度的反演,最后分別對兩種方法反演的結(jié)果進(jìn)行了對比分析,研究表明,利用混合像元線性分解方法得到的比輻射率進(jìn)行地表溫度反演具有更高的可信度。最后利用高清分辨率影像反演出的道路結(jié)合濟(jì)南市道路溫度網(wǎng)數(shù)據(jù),以不同尺度的格網(wǎng)對道路數(shù)據(jù)和地表溫度數(shù)據(jù)進(jìn)行劃分,研究道路交通網(wǎng)絡(luò)和城市熱島之間的關(guān)系。研究表明,城市地表溫度和道路密度呈正相關(guān)關(guān)系。
[Abstract]:Road traffic network information is an important part of geographic information system (GIS), and it is also the fastest updating geographic information in the process of urban development. The development of road traffic has promoted the development of urban economy and facilitated the travel of people. However, the road network with impervious surface has greatly changed the thermal environment of the city. The high temperature of the road surface intensifies the effect of urban heat island, which has a certain impact on people's living environment. As to the influence of road on urban heat island effect, the former people mainly studied the influence of road as impermeable water to urban heat island effect. In this paper, the road is considered as a kind of influence factor, and the relationship between road traffic network and urban heat island is studied. Firstly, this paper summarizes the methods of road segmentation and extraction for high-resolution image, and establishes the general process of road extraction in high-resolution image. In this paper, mathematical morphology and object-oriented method are used to extract the high-definition resolution image of Jinan. Comparing with the original high-resolution image data, it is shown that the method has high accuracy, high speed and high feasibility. Secondly, the single window algorithm is used to retrieve the urban surface temperature. In this study, the method of linear decomposition of mixed pixels is proposed to calculate the specific emissivity of surface pixels. Then the specific emissivity calculated by NDVI empirical formula and the specific emissivity calculated by linear decomposition of mixed pixel are used to invert the urban surface temperature. Finally, the results of the two methods are compared and analyzed. The specific emissivity obtained by the linear decomposition method of mixed pixel is more reliable for the inversion of surface temperature. Finally, the road data and surface temperature data of Jinan City are divided by using high-definition resolution image and road temperature net data, and the relationship between road traffic network and urban heat island is studied. The results show that there is a positive correlation between urban surface temperature and road density.
【學(xué)位授予單位】：山東建筑大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：U491;X16

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