[1]池毓锋,赖日文*,闫 琦,等.基于LandSat8 OLI数据的山区阴影信息检测与提取[J].山地学报,2017,(04):580-589.[doi:10.16089/j.cnki.1008-2786.000256]
 CHI Yufeng,LAI Riwen*,Yan Qi,et al.Detection and Extraction of Mountain Shadow Information from LandSat8 OLI data[J].Mountain Research,2017,(04):580-589.[doi:10.16089/j.cnki.1008-2786.000256]
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基于LandSat8 OLI数据的山区阴影信息检测与提取()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2017年04期
页码:
580-589
栏目:
山地技术
出版日期:
2017-07-30

文章信息/Info

Title:
Detection and Extraction of Mountain Shadow Information from LandSat8 OLI data
文章编号:
1008-2786-(2017)4-580-10
作者:
池毓锋赖日文*闫 琦余莉莉苏艳琴
福建农林大学 林学院,福州 350002
Author(s):
CHI Yufeng LAI Riwen* Yan Qi YU Lili SU Yanqin
College of Forestry, Fujian Agriculture and Forestry University, Fuzhou 350002, China
关键词:
LandSat8 OLI影像 c!算法 阴影 坡度因子
Keywords:
LandSat8 OLI data c! algorithm shadow slope factor.
分类号:
TP79; P951
DOI:
10.16089/j.cnki.1008-2786.000256
文献标志码:
A
摘要:
为快速获取山区遥感影像上的阴影干扰区域,探究一种简便、高效、精确的遥感影像中阴影干扰区域的方法,具有重要的意义。以福建省长汀县为研究区域,搜集2016年3月美国陆地卫星影像数据与ASTER影像计算的GDEM V2产品。基于土地利用分类体系测量的6类地面物体光谱信息与影像波段信息,优选影像的光谱波段并重新组合; 选取Sinh函数与Max函数建立c!算法,对LandSat8 OLI影像进行差异化计算,通过二分式判别规则初步提取阴影区域; 加入由数字高程模型计算的坡度信息,剔除水域与坡度较为平缓的地物等干扰信息,精确提取山区阴影区域。设立网格随机设置精度验证点验证精度,最终总体精度达到99.06%,Kappa系数为0.98。结果表明,实验方法对于LandSat8 OLI影像提取阴影可行性高,检测效果与提取结果较c3算法与SVI指数更好。
Abstract:
Shadows in remote sensing images contain cues about the shape and the relative position of objects, as well as the characteristics of surfaces and light sources.For this reason, the problem of shadow detection had been increasingly addressed over the past years.In this study, a new extraction method(c!)was established to extract the shadow information in mountainous region from satellite image data of Changting County, Fujian Province.The c! algorithm was established based on the free LandSat8 Operational Land Imager(OLI)image taken on 22 March, 2016 and the product of GDEM V2 image taken by ASTER satellite.This method was applied to differentiate shadows and non-shaded areas.The c! algorithm included band selection, band recombination, ground feature spectrum analysis, function construction, slope factor extraction and other important portions.In the part of function construction, function Sinh and function Max were used to calculate the image band variation.The 8 bit image value was confirmed through the threshold segmentation, that is, 199.Then the slope factor(with a value of 18 degree)extracted from GDEM V2 image was also combined within the algorithm.Finally, the mountain area shadow image and some other sample results were outputted using c! method and c3 method in the same research area, respectively.According to the grid random verification point data, the extraction results were verified and then compared with the results from c3 method.It showed that c! method in combination with spectrum and some other factors can significantly improve the extraction accuracy and effect.The overall accuracy and Kappa coefficient were 99.06% and 0.98, respectively.The study results suggested that the experimental method had high feasibility for shadow information detection and extraction on LandSat8 image.Moreover, it was simpler and more excellent when compared with SVI index method or c3 algorithm.

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备注/Memo

备注/Memo:
收稿日期(Received date):2016-09-02; 改回日期(Accepted date): 2016-12-01
基金项目(Foundation item):生态林种科研基地建设工程项目(61201400814); 森林持续经营研究(ky0180081)[The Ecological Forest Scientific Research Base Construction Project(No.61201400814); Sustainable Forest Management Research(No.ky0180081)]
作者简介(Biography):池毓锋(1991-),男,福建三明人,硕士研究生,从事3S技术应用研究[CHI Yufeng(1991-), male, born in Fujian, M.Sc.candidate, mainly study in 3S tech.] E-mail:418338906@139.com
*通讯作者(Corresponding author):赖日文(1970-),男,福建政和人,博士,副教授,从事3S技术研究[LAI Riwen(1970-),male, Ph.D, associate professor, mainly study in 3S tech.]E-mail:fjlrw@126.com
更新日期/Last Update: 2017-07-30