CAJ | 학술논문

光谱解混是用于定量分析高光谱图像中成分含量的一项重要技术方法，主要包括线性解混模型和非线性解混模型。线性解混模型构造简单，但并未考虑不同成分光子间的相互影响，导致解混结果在很多实际图像上不够精确。常用的非线性混合模型中的双线性解混算法，随着图像中端元数量增加，虚拟端元的数量也随之快速增加，计算精度受到很大的影响。论文报道改进了双线性解混的模型，并提出一种有效端元子集的选择算法。首先结合欧氏距离和光谱夹角，按照与混合像元的距离，将所有端元排序；然后利用排序结果和误差变化情况选择实际参与混合的端元子集。从而降低了未参与特定混合像元混合的端元对解混结果的影响，提高了解混精度。对模拟图像的测试效果证明了该算法可以减小光谱的重构误差，对实际航拍高光谱溢油图像的分析结果也进一步说明了算法的有效性。
광보해혼시용우정량분석고광보도상중성분함량적일항중요기술방법，주요포괄선성해혼모형화비선성해혼모형。선성해혼모형구조간단，단병미고필불동성분광자간적상호영향，도치해혼결과재흔다실제도상상불구정학。상용적비선성혼합모형중적쌍선성해혼산법，수착도상중단원수량증가，허의단원적수량야수지쾌속증가，계산정도수도흔대적영향。논문보도개진료쌍선성해혼적모형，병제출일충유효단원자집적선택산법。수선결합구씨거리화광보협각，안조여혼합상원적거리，장소유단원배서；연후이용배서결과화오차변화정황선택실제삼여혼합적단원자집。종이강저료미삼여특정혼합상원혼합적단원대해혼결과적영향，제고료해혼정도。대모의도상적측시효과증명료해산법가이감소광보적중구오차，대실제항박고광보일유도상적분석결과야진일보설명료산법적유효성。
An effective endmembers based bilinear unmixing algorithm is prompted in the present paper together with an end-member subset selection algorithm as well .Firstly ,the endmembers are ranked according to their distance to the mixed pixel , involving the Euclidean distance and spectral angle .And then ,an effective subset of the endmembers is abstracted considering both the ranking result and the change of error .The algorithm reduces the influence of endmembers which are not component of the mixed pixel ,decrease the number of endmembers involved in unmixing and improve the accuracy of abundance .The test re-sults for simulation image prove that the algorithm would provide a lower reconstructing error .And the analysis results of actual airborne hyperspectral oil spill image further illustrate its effectiveness .