Spatial-Convolution Spectral-Transformer Interactive Network for Large-Scale Fast Refined Land Cover Classification and Mapping Based on ZY1-02D Satellite Hyperspectral Imagery

Satellite hyperspectral imagery is an important data source for large-scale refined land cover classification and mapping, but the high spatial heterogeneity and spectral variability at low spatial resolution and the high computation cost for massive data remain challenges in the research community....

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Bibliografische gegevens

Hoofdauteurs:	Yibo Wang, Xia Zhang, Changping Huang, Wenchao Qi, Jinnian Wang, Xiankun Yang, Songtao Ding, Shiyu Tao
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2023-06-01
Reeks:	Remote Sensing
Onderwerpen:	land cover mapping hyperspectral image classification satellite hyperspectral imagery CNN transformer
Online toegang:	https://www.mdpi.com/2072-4292/15/13/3269
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