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基于LandSat8 OLI數(shù)據(jù)的山區(qū)陰影信息檢測與提取

發(fā)布時(shí)間:2018-01-15 23:00

  本文關(guān)鍵詞:基于LandSat8 OLI數(shù)據(jù)的山區(qū)陰影信息檢測與提取 出處:《山地學(xué)報(bào)》2017年04期  論文類型:期刊論文


  更多相關(guān)文章: LandSat OLI影像 c!算法 陰影 坡度因子


【摘要】:為快速獲取山區(qū)遙感影像上的陰影干擾區(qū)域,探究一種簡便、高效、精確的遙感影像中陰影干擾區(qū)域的方法,具有重要的意義。以福建省長汀縣為研究區(qū)域,搜集2016年3月美國陸地衛(wèi)星影像數(shù)據(jù)與ASTER影像計(jì)算的GDEM V2產(chǎn)品。基于土地利用分類體系測量的6類地面物體光譜信息與影像波段信息,優(yōu)選影像的光譜波段并重新組合;選取Sinh函數(shù)與Max函數(shù)建立c!算法,對LandSat8 OLI影像進(jìn)行差異化計(jì)算,通過二分式判別規(guī)則初步提取陰影區(qū)域;加入由數(shù)字高程模型計(jì)算的坡度信息,剔除水域與坡度較為平緩的地物等干擾信息,精確提取山區(qū)陰影區(qū)域。設(shè)立網(wǎng)格隨機(jī)設(shè)置精度驗(yàn)證點(diǎn)驗(yàn)證精度,最終總體精度達(dá)到99.06%,Kappa系數(shù)為0.98。結(jié)果表明,實(shí)驗(yàn)方法對于LandSat8 OLI影像提取陰影可行性高,檢測效果與提取結(jié)果較c3算法與SVI指數(shù)更好。
[Abstract]:In order to quickly obtain shadow interference area in remote sensing image of mountain area, it is of great significance to explore a simple, efficient and accurate method of shadow interference area in remote sensing image. Changting County, Fujian Province is taken as the research area. Collecting American Landsat Image data from March 2016 and GDEM of ASTER Image Computation. V2 products. Spectral information and image band information of 6 kinds of ground objects measured based on land use classification system. Select the spectral band of the image and recombine it; Select Sinh function and Max function to establish c! The algorithm is used to calculate the difference of LandSat8 OLI image, and the shadow region is preliminarily extracted by dichotomous discriminant rule. Add the slope information calculated by the digital elevation model, eliminate the disturbance information such as water area and gentle slope, extract the shadow area of mountain area accurately, and set up the grid random setting accuracy verification point to verify the accuracy. The result shows that the experimental method is feasible for LandSat8 OLI image to extract shadow. The result of detection and extraction is better than that of c3 algorithm and SVI index.
【作者單位】: 福建農(nóng)林大學(xué)林學(xué)院;
【基金】:生態(tài)林種科研基地建設(shè)工程項(xiàng)目(61201400814) 森林持續(xù)經(jīng)營研究(ky0180081)~~
【分類號】:TP751
【正文快照】: 目前的遙感手段的基礎(chǔ)主要源于地物對光照的反射,由于太陽高度角與地物高程差,勢必容易產(chǎn)生對太陽光的阻擋從而產(chǎn)生一定區(qū)域的陰影覆蓋范圍。由于陰影的干擾,相同或者相似的地物類型在是否有陰影的不同環(huán)境下呈現(xiàn)較大的光譜、紋理特征差異,對后續(xù)的遙感分析造成了較大的干擾[1,

本文編號:1430420

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