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Accurate Polygonal Mapping of Buildings in Satellite Imagery. (arXiv:2208.00609v1 [cs.CV])
Aug. 2, 2022, 2:13 a.m. | Bowen Xu, Jiakun Xu, Nan Xue, Gui-Song Xia
cs.CV updates on arXiv.org arxiv.org
This paper studies the problem of polygonal mapping of buildings by tackling
the issue of mask reversibility that leads to a notable performance gap between
the predicted masks and polygons from the learning-based methods. We addressed
such an issue by exploiting the hierarchical supervision (of bottom-level
vertices, mid-level line segments and the high-level regional masks) and
proposed a novel interaction mechanism of feature embedding sourced from
different levels of supervision signals to obtain reversible building masks for
polygonal mapping of …
More from arxiv.org / cs.CV updates on arXiv.org
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