most citedGreenhouse Segmentation on High-Resolution Optical Satellite Imagery using Deep Learning Techniques

4 citations · 7 across the 2 of their papers we have counts for

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cs.CV2023★ 3 cited

SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion Models

Orkhan Baghirli, Hamid Askarov, Imran Ibrahimli +2

Deep learning models in the Earth Observation domain heavily rely on the availability of large-scale accurately labeled satellite imagery. However, obtaining and labeling satellite…

cs.CV2020★ 4 cited

Greenhouse Segmentation on High-Resolution Optical Satellite Imagery using Deep Learning Techniques

Orkhan Baghirli, Imran Ibrahimli, Tarlan Mammadzada

Greenhouse segmentation has pivotal importance for climate-smart agricultural land-use planning. Deep learning-based approaches provide state-of-the-art performance in natural imag…