CAJ | 학술논문

提出一种利用光谱滤波器进行遥感图像混合像元全约束分解的新算法.该算法利用端元光谱中与背景光谱正交的光谱成分构建光谱滤波器,滤除混合像元中的背景干扰成分,直接获取信号光谱的丰度.采用该光谱滤波器多次迭代分解,修正单个混合像元的端元光谱空间,获取其确切的端元光谱配置,保证了分解时各端元丰度的非负性,实现混合像元的全约束分解.多光谱数据仿真实验证明,与全约束最小二乘法(FCLS)和正交投影(OSP)分解法相比,该方法虽然在时间方面略逊一点,但其分解结果与实际结果的相关系数高,均方根误差小,具有很高的分解精度,在遥感定量分析方面具有重要的应用潜力.最后给出了该算法在真实的高光谱图像中进行混合像元分析的结果.
제출일충이용광보려파기진행요감도상혼합상원전약속분해적신산법.해산법이용단원광보중여배경광보정교적광보성분구건광보려파기,려제혼합상원중적배경간우성분,직접획취신호광보적봉도.채용해광보려파기다차질대분해,수정단개혼합상원적단원광보공간,획취기학절적단원광보배치,보증료분해시각단원봉도적비부성,실현혼합상원적전약속분해.다광보수거방진실험증명,여전약속최소이승법(FCLS)화정교투영(OSP)분해법상비,해방법수연재시간방면략손일점,단기분해결과여실제결과적상관계수고,균방근오차소,구유흔고적분해정도,재요감정량분석방면구유중요적응용잠력.최후급출료해산법재진실적고광보도상중진행혼합상원분석적결과.
The presentation of mixtures not only influences the performance of image classification and target recognition, but also is an obstacle to quantitative analysis of remote sensing images. Therefore, a novel spectrum filter based fully constrained mixture analysis algorithm is proposed in this paper to tackle this problem. The spectrum filter, which could wipe off the back-ground spectrum in a mixed pixel, is firstly proposed to obtain the sum-to-one constrained fractional abundance of mixtures in remote sensing images. Since the precise endmember set of a mixture can be obtained by continually modifying the endmember space when minus abundance exists, the spectrum filter based iterative algorithm is present to realize fully constrained mixture analysis. Experimental analysis based on synthetic multispectral data set demonstrates that the proposed algorithm obviously outperforms the popular Fully Constrained Least Square unmixing (FCLS) algorithm and the Orthogonal Subspace Projection (OSP) algorithm. In addition, the proposed algorithm also achieves very promising performance on real hyperspectral images.