Sana Jabbar
Sana Jabbar is a PhD Thesis student in Computer Vision & Graphics Lab (cvglab) at LUMS Syed Babar Ali School of Science and Engineering.
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ICONIP2023 – Stereoential Net: Deep Network for Learning Building Height Using Stereo Imagery
Sana Jabbar, Murtaza Taj Abstract: Height estimation plays a crucial role in the planning and assessment of urban development, enabling effective decision-making and evaluation of urban built areas. Accurate estimation of building heights from remote sensing optical imagery poses significant challenges in preserving both the overall structure of complex scenes and the elevation details of…