机译:高光谱解混的稀疏正则化鲁棒非负矩阵分解
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, and the Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China;
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, and the Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China;
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, and the Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China;
Hyperspectral imaging; Sparse matrices; Linear programming; Robustness; Gaussian noise; Data models;
机译:群集多任务非负矩阵分解,用于高光谱数据的光谱解密
机译:高光谱解密的光谱和空间总变化的多层非负数矩阵分解
机译:约束非负矩阵分解算法与空间均匀区域分析结合高光谱解密
机译:一种强大的终点约束非负矩阵因子分解方法,用于超光谱
机译:使用约束正矩阵分解对高光谱图像进行无监督分解。
机译:使用多层非负矩阵分解的荧光标记样品的高效盲光谱解混
机译:用于初始化非负矩阵分解的修正独立分量分析:一种高光谱图像分解方法