Kernel Tensor Sparse Coding Model for Precise Crop Classification of UAV Hyperspectral Image

In this letter, a kernel tensor sparse coding model (KTSCM) is proposed for precise crop classification of unmanned aerial vehicle (UAV) hyperspectral image (HSI). Benefited from the kernel tensor representation mechanism in KTSCM, which can not only improve the linear separation but also well prese...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters Jg. 20; S. 1
Hauptverfasser:	Yang, Lixia, Zhang, Rui, Bao, Yajun, Yang, Shuyuan, Jiao, Licheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Autonomous aerial vehicles Classification Coding Computation Cost analysis Crops Dictionaries Encoding Exact solutions Hyperspectral imaging Image classification Kernel Kernel tensor sparse coding Kernels Mathematical analysis precise crop classification Tensors unmanned aerial vehicle hyperspectral image Unmanned aerial vehicles
ISSN:	1545-598X, 1558-0571
Online-Zugang:	Volltext
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