Sea-Ice Data Content Representation Based on Latent Dirichlet Allocation for Belgica Bank in Greenland

• Main Authors: Karmakar Chandrabali, Octavian, Dumitru, Datcu Mihai
• Format: Dataset
• Language: English
• Published: Zenodo 2021
• Subjects: Latent Dirichlet Allocation, Topics, Sentinel-1; Belgica Bank; Greenland; The Sentinel; Sea ice
• Online Access: https://dx.doi.org/10.5281/zenodo.5075860; https://zenodo.org/record/5075860

Data description File type : -.npy (python numpy file) File content: Each file is a numpy array of size (number of 256x256 patches, 4096) indexed by id of the patch (each scene contains 6,400 patches, each patch has 4,096 micropatches of size 4x4, assigned one topic [1] per micropatch, resulting in...