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researcher

M. Koeva

3 papers hereh-index 221.8k citations140 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedDeep Learning and Earth Observation to Support the Sustainable Development Goals

6 citations · 9 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2021★ 6 cited

Deep Learning and Earth Observation to Support the Sustainable Development Goals

Claudio Persello, Jan Dirk Wegner, Ronny Hänsch +4

The synergistic combination of deep learning models and Earth observation promises significant advances to support the sustainable development goals (SDGs). New developments and a…

cs.CV2019★ 3 cited

Robust object extraction from remote sensing data

Sophie Crommelinck, Mila Koeva, Michael Ying Yang +1

The extraction of object outlines has been a research topic during the last decades. In spite of advances in photogrammetry, remote sensing and computer vision, this task remains c…

cs.CV2017

Towards Automated Cadastral Boundary Delineation from UAV Data

Sophie Crommelinck, Michael Ying Yang, Mila Koeva +3

Unmanned aerial vehicles (UAV) are evolving as an alternative tool to acquire land tenure data. UAVs can capture geospatial data at high quality and resolution in a cost-effective,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.