CAJ | 학술논문

非负矩阵分解(NMF)由于跟线性光谱混合模型具有很高的相似性,因此成为光谱混合像元分解中算法中的一个研究热点.为了避免NMF算法陷入局部最小带来的求解结果不确定性,提出用正交子空间投影(OSP)方法来估计高光谱图像端元的个数,同时简化了最小单形体体积约束的NMF算法中关于单形体体积的计算方法.实验结果表明利用该算法得到的地物丰度图与真实地物的分布状况相吻合.
비부구진분해(NMF)유우근선성광보혼합모형구유흔고적상사성,인차성위광보혼합상원분해중산법중적일개연구열점.위료피면NMF산법함입국부최소대래적구해결과불학정성,제출용정교자공간투영(OSP)방법래고계고광보도상단원적개수,동시간화료최소단형체체적약속적NMF산법중관우단형체체적적계산방법.실험결과표명이용해산법득도적지물봉도도여진실지물적분포상황상문합.
Because of the high similarity to the linear spectral mixing model,non-negative matrix factorization (NMF)has become a hot research topic in spectral unmixing algorithms. In order to avoid uncertainty of the re-sults due to the NMF algorithm dropping into a local minimum solution,this paper proposes orthogonal sub-space projection(OSP)to estimate the number of endmembers,Meanwhile,the calculation method for the sim-plex volume is simplified. The experimental results show that the abundance map obtained from spectral unmix-ing can reflect the real distribution of surface minerals.