About this document
Deep Multimodal Fusion for Remote Sensing by iamanantha8 is a document available to read on EtoBox.
The document discusses a deep multimodal fusion architecture for semantic segmentation of remote sensing data, utilizing a dual-encoder system to process spatial and temporal information separately. It highlights the advantages of combining high-resolution aerial imagery with NDVI time series data for improved accuracy and adaptability in land cover classification. The proposed model addresses challenges in remote sensing and has applications in urban planning and defense, while also noting limitations such
- Author
- iamanantha8
- Language
- EN