A Boundary-Enhanced Semantic Segmentation Model for Buildings

High-precision building information extraction is essential in surveying and mapping. Deep-learning methods have proven effective in extracting buildings from satellite optical images. This article introduces a boundary-enhanced semantic segmentation model (BE-SegModel) to address the issue of uncle...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Wang Fenglei, Gao Xin, Zhao Zongze, Xu Lida, Ma Chao
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Building image segmentation convolutional neural networks (CNNs) deep learning image analysis image edge detection
Online Access:	https://ieeexplore.ieee.org/document/10840290/