發(fā)布時(shí)間：2019-02-19 11:51

【摘要】：不透水面是城市區(qū)域中一種典型的土地覆蓋類型,是衡量城市環(huán)境質(zhì)量和城市化水平的重要標(biāo)志之一。與傳統(tǒng)基于像元級(jí)的遙感研究方法相比,不透水面百分比(Impervious Surface Percent,ISP)的估算可以進(jìn)入像元內(nèi)部,獲得更準(zhǔn)確的城市信息。本文應(yīng)用Cubist模型樹,對(duì)Landsat TM的原始波段變量(除熱紅外波段),建立ISP估算的基礎(chǔ)模型(Base Cubist-ISP)。通過基于模型樹的集成學(xué)習(xí)優(yōu)化算法和加入相鄰時(shí)相影像的波段變量中值,以削弱噪聲的影響。然后,優(yōu)選熱紅外波段和各種衍生變量,并進(jìn)行屬性精簡(jiǎn),繼而應(yīng)用集成學(xué)習(xí)算法得到的參數(shù)和精簡(jiǎn)后的變量建立ISP估算的優(yōu)化模型(Optimal CubistISP)。對(duì)廣東省廣州市海珠區(qū)的實(shí)驗(yàn)結(jié)果表明,Optimal Cubist-ISP模型估算不透水面的整體均方根誤差(RMSE)為12.98%,決定系數(shù)(R2)為0.90,精度明顯優(yōu)于Base Cubist-ISP模型,RMSE降低約5.03%,ISP在透水面區(qū)域被高估和高密度不透水面區(qū)域被低估的現(xiàn)象得到改善。本文提出的基于Cubist模型樹建立ISP遙感估算的模型及優(yōu)化方法可以適用于城市區(qū)ISP的提取。
[Abstract]:Impervious surface is a typical land cover type in urban area, which is one of the important indicators to measure the quality of urban environment and the level of urbanization. Compared with the traditional pixel-based remote sensing method, the estimation of impermeable surface percentage (Impervious Surface Percent,ISP) can enter into the pixel and obtain more accurate city information. In this paper, the basic model of ISP estimation (Base Cubist-ISP) is established for the original band variables of Landsat TM (excluding heat infrared band) by using the Cubist model tree. An ensemble learning optimization algorithm based on model tree and the median value of band variables of adjacent temporal images are used to reduce the influence of noise. Then, the thermal infrared band and various derived variables are selected optimally, and the attributes are reduced. Then the parameters obtained by the integrated learning algorithm and the reduced variables are applied to establish the optimization model of ISP estimation (Optimal CubistISP). The experimental results of Haizhu District, Guangzhou City, Guangdong Province show that the total root mean square error (RMSE) and determination coefficient (R2) of Optimal Cubist-ISP model are 12.98 and 0.90 respectively, which are better than that of Base Cubist-ISP model. The decrease in RMSE was about 5.03%, and the overestimation of ISPs in the pervious area and the underestimation of the high density impervious surface were improved. The model and optimization method of ISP remote sensing estimation based on Cubist model tree proposed in this paper can be applied to the extraction of ISP in urban areas.
【作者單位】： 華南師范大學(xué)地理科學(xué)學(xué)院廣東省智慧國(guó)土工程技術(shù)研究中心;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(41101152) “973”計(jì)劃前期研究專項(xiàng)(2014CB460614) 廣州市產(chǎn)學(xué)研協(xié)同創(chuàng)新重大專項(xiàng)民生科技項(xiàng)目(156100021) 廣東省科技計(jì)劃項(xiàng)目(2015A010103013)
【分類號(hào)】：P237
，

本文編號(hào)：2426474