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

• Published in: International journal of applied earth observation and geoinformation Vol. 127; p. 103642
• Main Authors: Zang, Yufu, Wang, Shuye, Guan, Haiyan, Peng, Daifeng, Chen, Jike, Chen, Yanming, Delavar, Mahmoud R.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2024; Elsevier
• Subjects: Attention mechanism; light; Multi-modal fusion; radiometry; spatial data; texture; Two-branch network; Vegetation index; Vegetation-attentive deep network; Attention mechanism; Multi-modal fusion; Vegetation index; Vegetation-attentive deep network; Two-branch network

•A radiometric correction mechanism was proposed.•A combined attention mechanism was designed to select useful information and avoid excessive parameters.•We modify ResNet and VGG (Visual Geometry Group) to capture deep features from vegetation-sensitive and visible-light images respectively.•A nove...