English

Greenery Segmentation In Urban Images By Deep Learning

Computer Vision and Pattern Recognition 2019-12-16 v1 Machine Learning

Abstract

Vegetation is a relevant feature in the urban scenery and its awareness can be measured in an image by the Green View Index (GVI). Previous approaches to estimate the GVI were based upon heuristics image processing approaches and recently by deep learning networks (DLN). By leveraging some recent DLN architectures tuned to the image segmentation problem and exploiting a weighting strategy in the loss function (LF) we improved previously reported results in similar datasets.

Keywords

Cite

@article{arxiv.1912.06199,
  title  = {Greenery Segmentation In Urban Images By Deep Learning},
  author = {Artur A. M. Oliveira and Nina S. T. Hirata and Roberto Hirata},
  journal= {arXiv preprint arXiv:1912.06199},
  year   = {2019}
}

Comments

Supplemental material can be found at http://greenery_data.arturao.org/

R2 v1 2026-06-23T12:44:35.063Z