DCFUSION: DUAL-HEADED FUSION STRATEGY AND CONTEXTUAL INFORMATION AWARENESS FOR INFRARED AND VISIBLE REMOTE SENSING IMAGE

DCFusion: Dual-Headed Fusion Strategy and Contextual Information Awareness for Infrared and Visible Remote Sensing Image

In remote Wrinkle Cream sensing, the fusion of infrared and visible images is one of the common means of data processing.Its aim is to synthesize one fused image with abundant common and differential information from the source images.At present, the fusion methods based on deep learning are widely employed in this work.However, the existing fusion

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Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction

Solar energy predictive models designed to emulate the long-term (e.g., monthly) global solar radiation (GSR) trained with satellite-derived predictors can be employed as decision tenets in the exploration, installation and management of solar energy production systems in remote and inaccessible solar-powered sites.In spite of a plethora of models

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