半导体光电, 2020, 41 (1): 141, 网络出版: 2020-04-13
联合空间信息的改进低秩稀疏矩阵分解的高光谱异常目标检测
Joint Spatial Information and Improved Low-rank and Sparse Matrix Decomposition-based Anomaly Target Detection for Hyperspectral Imagery
基本信息
| DOI: | 10.16818/j.issn1001-5868.2020.01.029 |
| 中图分类号: | TP751 |
| 栏目: | 光电技术及应用 |
| 项目基金: | 国家自然科学基金项目（61801507）. |
| 收稿日期: | 2019-09-09 |
| 修改稿日期: | -- |
| 网络出版日期: | 2020-04-13 |
| 通讯作者: | 华文深 (huawensh@126.com) |
| 备注: | -- |
张炎, 华文深, 黄富瑜, 严阳, 王强辉, 索文凯. 联合空间信息的改进低秩稀疏矩阵分解的高光谱异常目标检测[J]. 半导体光电, 2020, 41(1): 141. ZHANG Yan, HUA Wenshen, HUANG Fuyv, YAN Yang, WANG Qianghui, SUO Wenkai. Joint Spatial Information and Improved Low-rank and Sparse Matrix Decomposition-based Anomaly Target Detection for Hyperspectral Imagery[J]. Semiconductor Optoelectronics, 2020, 41(1): 141.
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