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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Published in | IEEE transactions on geoscience and remote sensing Vol. 63; pp. 1 - 16 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
New York
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
01.01.2025
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Subjects | |
Online Access | Get full text |
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