PROCEEDINGS OF THE ITE ANNUAL CONVENTION
Online ISSN : 2424-2292
Print ISSN : 1343-1846
ISSN-L : 1343-1846
Proceedings of the ITE Annual Convention 2018
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Building Change Detection from Aerial Photographs Using Instance Segmentation
*Takehito MIYAZAWAKazuya HAYASEAtsushi SHIMIZU
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Pages 14C-5-

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Abstract
This paper presents a n object based building change detection method based on instance segmentation technique. We employ Mask R-CNN to separate adjacent buildings and improve change detection accuracy in RGB imageries.
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© 2018 The Institute of Image Information and Television Engineers
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