激光与光电子学进展, 2019, 56 (9): 091001, 网络出版: 2019-07-05  

基于数据简化的改进非负矩阵分解端元提取方法 下载: 949次

Improved Algorithm for Nonnegative Matrix Factorization and Endmember Extraction Based on Data Simplification
作者单位
1 西安航空学院电子工程学院, 陕西 西安 710077
2 西北大学城市与环境学院, 陕西 西安 710127
3 西安石油大学计算机学院, 陕西 西安 710065
引用该论文

徐君, 王旭红, 王彩玲. 基于数据简化的改进非负矩阵分解端元提取方法[J]. 激光与光电子学进展, 2019, 56(9): 091001.

Jun Xu, Xuhong Wang, Cailing Wang. Improved Algorithm for Nonnegative Matrix Factorization and Endmember Extraction Based on Data Simplification[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091001.

参考文献

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徐君, 王旭红, 王彩玲. 基于数据简化的改进非负矩阵分解端元提取方法[J]. 激光与光电子学进展, 2019, 56(9): 091001. Jun Xu, Xuhong Wang, Cailing Wang. Improved Algorithm for Nonnegative Matrix Factorization and Endmember Extraction Based on Data Simplification[J]. Laser & Optoelectronics Progress, 2019, 56(9): 091001.

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