Work

Shape-Adaptive High-Order Tensor Decomposition for Hyperspectral Feature Extraction

Year: 2025

Type: article

Source: IEEE Geoscience and Remote Sensing Letters

DOI: 10.1109/lgrs.2025.3589998

Authors: Hong Qiu, Jiashun Wu, Renfang Wang, Heng Jin, LiMing Wu, Yingying Huang

Institutions: Zhejiang Wanli University, Ocean University of China, Sinopec (China)

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, Food Science and Engineering, the Most Important Discipline of Zhejiang Province, Natural Science Foundation of Ningbo, Medical Science and Technology Project of Zhejiang Province, Basic Public Welfare Research Program of Zhejiang Province

Awards: G3237606047, G3697854436, G4024174972, G4344579893, G6414751871, G6527903648, G661967040, G7187102163, G8044695157

OpenAlex ID: W4412973101

FWCI:

Cites: 10

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