Yang Li
SSDBN: A Single-Side Dual-Branch Network with Encoder–Decoder for Building Extraction
Li, Yang; Lu, Hui; Liu, Qi; Zhang, Yonghong; Liu, Xiaodong
Abstract
In the field of building detection research, an accurate, state-of-the-art semantic segmentation model must be constructed to classify each pixel of the image, which has an important reference value for the statistical work of a building area. Recent research efforts have been devoted to semantic segmentation using deep learning approaches, which can be further divided into two aspects. In this paper, we propose a single-side dual-branch network (SSDBN) based on an encoder–decoder structure, where an improved Res2Net model is used at the encoder stage to extract the basic feature information of prepared images while a dual-branch module is deployed at the decoder stage. An intermediate framework was designed using a new feature information fusion methods to capture more semantic information in a small area. The dual-branch decoding module contains a deconvolution branch and a feature enhancement branch, which are responsible for capturing multi-scale information and enhancing high-level semantic details, respectively. All experiments were conducted using the Massachusetts Buildings Dataset and WHU Satellite Dataset I (global cities). The proposed model showed better performance than other recent approaches, achieving an F1-score of 87.69% and an IoU of 75.83% with a low network size volume (5.11 M), internal parameters (19.8 MB), and GFLOPs (22.54), on the Massachusetts Buildings Dataset.
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 4, 2022 |
Online Publication Date | Feb 7, 2022 |
Publication Date | 2022-02 |
Deposit Date | Feb 14, 2022 |
Publicly Available Date | Feb 14, 2022 |
Journal | Remote Sensing |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Issue | 3 |
Article Number | 768 |
DOI | https://doi.org/10.3390/rs14030768 |
Keywords | building extraction; dual-branch; semantic segmentation; encoder–decoder network |
Public URL | http://researchrepository.napier.ac.uk/Output/2844958 |
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SSDBN: A Single-Side Dual-Branch Network With Encoder–Decoder For Building Extraction
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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