地物光谱不确定性及光谱角制图算法适用性研究

doi:10.3964/j.issn.1000-0593(2015)10-2841-05

CORC > 北京大学 > 地球与空间科学学院

	地物光谱不确定性及光谱角制图算法适用性研究; Spectral Uncertainty of Terrestrial Objects and the Applicability of Spectral Angle Mapper Algorithm
	岑奕 ; 张艮中 ; 张立福 ; 鹿旭晖 ; 张飞舟
刊名	光谱学与光谱分析
	2015
关键词	光谱角不确定性光谱差异高光谱 Spectral angle Uncertainty Spectral differences Hyperspectral HYPERSPECTRAL IMAGERY AVIRIS
DOI	10.3964/j.issn.1000-0593(2015)10-2841-05
英文摘要	地物光谱不确定往往使同种地物光谱之间存在一定程度的差异,影响了地物的识别精度,对光谱角制图算法的地物识别效果也会产生一定的影响。光谱角制图算法(spectral angle mapper,SAM)是基于光谱曲线整体相似性的一种算法,在高光谱遥感信息分类中应用广泛,但在计算两条地物光谱曲线的相似性时并没有考虑地物光谱不确定性的影响,因此往往会不能正确识别出目标地物。针对地物光谱的不确定性,研究了光谱角制图算法的适用性,并对光谱角制图算法进行了改进。改进的基本思路为:设置测试光谱与参考光谱各波段的光谱差异量为一相同值,并根据同种地物光谱向量之间夹角最小的原则,利用求导的方法求出光谱差异量,以克服地...; The spectral uncertainty of terrestrial objects causes a certain degree of spectral differences among feature spectra, which affects the accuracy of object recognition and also impacts the object recognition of spectral angle mapper algorithm (SAM). The spectral angle mapper algorithm is based on the overall similarity of the spectral curves, which was widely used in the classification of hyperspectral remotely sensed information. The spectral angle mapper algorithm does not take the spectral uncertainty of terrestrial objects into account while calculating the spectral angle between the spectral curves, and therefore does not tend to correctly identify the target objects. The applicability of the spectral angle mapper algorithm is studied for the spectral uncertainty of terrestrial objects and a modified SAM is proposed in this paper. In order to overcome the influence of the spectral uncertainty, the basic idea is to set a spectral difference value for the test spectra and the reference spectra and to calculate the spectral difference value based on derivation method according to the principle of minimum angle between the test spectra and the reference spectra. By considering the impact of the spectral uncertainty of terrestrial objects, this paper uses five kaolinite mineral spectra of USGS to calculate the spectral angle between the five kalinite mineral spectra by using local band combination and all bands to verify the improved algorithm. The calculation results and the applicability of the spectral angle mapper algorithm were analyzed. The results obtained from the experiments based on USGS mineral spectral data indicate that the modified SAM is not only helpful in characterizing and overcoming the impact of the spectral uncertainty but it can also improve the accuracy of object recognition to certain extent especially for selecting local band combination and has better applicability for the spectral uncertainty of terrestrial objects.; 国家自然科学基金项目; 国家科技支撑计划项目; 天然气水合物勘查与试采专项; 国土资源部地学空间信息技术重点实验室开放基金项目; SCI(E); 中文核心期刊要目总览(PKU); 中国科技核心期刊(ISTIC); 中国科学引文数据库(CSCD); cenyi@radi.ac.cn; zhangfz@pku.edu.cn; 10; 2841-2845; 35
语种	中文
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/415983]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	岑奕,张艮中,张立福,等. 地物光谱不确定性及光谱角制图算法适用性研究, Spectral Uncertainty of Terrestrial Objects and the Applicability of Spectral Angle Mapper Algorithm[J]. 光谱学与光谱分析,2015.
APA	岑奕,张艮中,张立福,鹿旭晖,&张飞舟.(2015).地物光谱不确定性及光谱角制图算法适用性研究.光谱学与光谱分析.
MLA	岑奕,et al."地物光谱不确定性及光谱角制图算法适用性研究".光谱学与光谱分析 (2015).