VAM-Net: Vegetation-Attentive deep network for Multi-modal fusion of visible-light and vegetation-sensitive images

VAM-Net: Vegetation-Attentive deep network for Multi-modal fusion of visible-light and vegetation-sensitive images

Multi-modal fusion of remote sensing images poses challenges because of the intricate imaging mechanisms and variations in radiation across different modalities. Specifically, the fusion of visible-light and vegetation-sensitive images encounters similar difficulties. Traditional methods have seldom...

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Bibliographic Details
Main Authors: Yufu Zang, Shuye Wang, Haiyan Guan, Daifeng Peng, Jike Chen, Yanming Chen, Mahmoud R. Delavar
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Multi-modal fusion
Vegetation-attentive deep network
Vegetation index
Two-branch network
Attention mechanism
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843223004661

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http://www.sciencedirect.com/science/article/pii/S1569843223004661

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