• Classification of Bulk Cargo Types Stored Openly at Ports Using CNN 

      Koirala, Madhu; Ellingsen, Pål Gunnar; Ådland, Roar Os (Chapter; Bokkapittel, 2023)
      In this paper, we present a novel concept of tracking cargoes at open ports using remote sensing images and convolution neural network (CNN) to classify various dry bulk commodities. The dataset used is prepared using Sentinel-2 atmospherically corrected (Sentinel-2 L2A) images covering 12 spectral bands. There are total 4995 labeled and geo-referenced images for four different cargoes-bauxite, ...
    • Classification of bulk cargo types stored openly at ports using CNN 

      Koirala, Madhu; Ellingsen, Pål Gunnar; Ådland, Roar Os (Chapter; Bokkapittel, 2023-10-20)
      In this paper, we present a novel concept of tracking cargoes at open ports using remote sensing images and convolution neural network (CNN) to classify various dry bulk commodities. The dataset used is prepared using Sentinel-2 atmospherically corrected (Sentinel-2 L2A) images covering 12 spectral bands. There are total 4995 labeled and geo-referenced images for four different cargoes-bauxite, coal, ...
    • TRACKING VOLUME CHANGE OF THE BULK COMMODITIES WITH INTERFEROMETRIC SAR 

      Wu, Zhenming; Ellingsen, Pål Gunnar; Jia, Haiying; Ådland, Roar Os (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      Bulk commodities are crucial to global economy and modern society. Some commodities, such as grain, are normally stored in cylindrical tanks. The height of the tank’s roof may be correlated to the substance quantity inside the tank, indicating that roof displacement may be associated with the volume of the bulk commodities. Here we analyzed the displacements derived from C-band Sentinel-1 data ...