Uav-based multi-sensor data fusion for urban land cover mapping using a deep convolutional neural network

HIGHLIGHTS

• who: Ahmed Elamin and Ahmed El-Rabbany from the Department of Civil Engineering, Faculty of Engineering and Architectural Science, Toronto Metropolitan University, Toronto, ON M B , Canada have published the research: UAV-Based Multi-Sensor Data Fusion for Urban Land Cover Mapping Using a Deep Convolutional Neural Network, in the Journal: (JOURNAL) of 31/08/2022
• what: In this research low-cost model was developed for land cover classification on For the purpose of this research two datasets were collected at two different urban locations two different UASs. model on U-net with Resnet101 as . . .
  

   

  

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