Work

A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection

Year: 2015

Type: article

Source: IEEE Transactions on Geoscience and Remote Sensing

DOI: 10.1109/tgrs.2015.2479299

Authors: Yuxiang Zhang, Bo Du, Liangpei Zhang, Shugen Wang

Institutions: Wuhan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities

Awards: G1787015647, G4118196109, G5505549595, G6133293677, G6933362682, 稀疏表达和跨领域学习的高光谱遥感图像亚像元目标探测研究

OpenAlex ID: W2288752886

FWCI: 27.83

Cites: 48

Cited by: 486

Related to: 10