VECTOR MAP GENERATION FROM AERIAL IMAGERY USING DEEP LEARNING

VECTOR MAP GENERATION FROM AERIAL IMAGERY USING DEEP LEARNING

We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after eve...

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Bibliographic Details
Main Authors:	M. Sahu, A. Ohri
Format:	Article
Language:	English
Published:	Copernicus Publications 2019-05-01
Series:	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W5/157/2019/isprs-annals-IV-2-W5-157-2019.pdf

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