Examining Model Generality of Instance Segmentation for Building Mapping in Satellite Images - Case Study for Tokyo and Bangkok-Reference-Cited by-同舟云学术

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Examining Model Generality of Instance Segmentation for Building Mapping in Satellite Images - Case Study for Tokyo and Bangkok

Published:2023-07-16 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Yamanotera Ryota¹,Akiyama Yuki²,Miyazaki Hiroyuki³

Affiliation:

1. Tokyo City University,Faculty of Engineering,Department of Urban and Civil Engineering

2. Tokyo City University,Faculty of Architecture and Urban Design,Department of Urban and Civil Engineering

3. The University of Tokyo,Center for Spatial Information Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282156.pdf?arnumber=10282156

Reference7 articles.

1. Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks

2. Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach

3. Mask r-cnn;gkioxari;Proceedings of the IEEE International Conference on Computer Vision,2017

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