Collaborative Classification of Hyperspectral and LiDAR Date Based on Dynamic Multiple Fractional Fourier Domains Fusion

Collaboratively utilizing the complementary information provided by hyperspectral imagery and light detection and ranging (LiDAR) data will extend the applications associated with land cover recognition and mapping. Existing joint classification algorithms mainly focus on learning complementary patt...

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Bibliographic Details
Published inIEEE transactions on geoscience and remote sensing Vol. 63; pp. 1 - 16
Main Authors Qin, Boao, Shou Feng, Zhao, Chunhui, Li, Wei, Tao, Ran
Format Journal Article
LanguageEnglish
Published New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.01.2025
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