Semantic Segmentation of Vegetation in Remote Sensing Imagery Using Deep Learning

@article{Munteanu2022SemanticSO,
  title={Semantic Segmentation of Vegetation in Remote Sensing Imagery Using Deep Learning},
  author={Alexandru Munteanu and Marian Neagul},
  journal={ArXiv},
  year={2022},
  volume={abs/2209.14364}
}
In recent years, the geospatial industry has been developing at a steady pace. This growth implies the addition of satellite constellations that produce a copious supply of satellite imagery and other Remote Sensing data on a daily basis. Sometimes, this information, even if in some cases we are referring to publicly available data, it sits unaccounted for due to the sheer size of it. Processing such large amounts of data with the help of human labour or by using traditional automation methods… 

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