Journal of Geo-information Science

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Exploring Urban Renewal Consumption: A Rapid Estimation Method for Annual Urban Construction Waste Production Based on High-Resolution Remote Sensing Images

HUANG Lei, LIN Shaofu, LIU Xiliang, WANG Shaohua, CHEN Guihong, MEI Qiang

Journal of Geo-information Science, 2024, 26(9): 2192-2212. DOI: 10.12082/dqxxkx.2024.240199

Fig. 10 The area of each area within the construction waste disposal sites in Changping District, Beijing, in 2019 and 2020

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Fig. 1 Overall system architecture for calculating annual production of construction waste
Fig. 2 MS-FF-AENet network structure
Fig. 3 The detailed structure of the dual attention mechanism module (DAMM)
Tab. 1 Types of layers and corresponding heights for landfill construction
Fig. 4 Overview of the study area and data sources
Fig. 5 Part of the experimental data set images and labels
Tab. 2 Definition table for the confusion matrix for building and construction waste extraction
Tab. 3 Quantitative evaluation of different models on a dataset of buildings in Changping District, Beijing (%)
Fig. 6 Extraction results of different models on building dataset in Changping District, Beijing
Tab. 4 Quantitative evaluation of different models on construction waste disposal sites dataset (%)
Fig. 7 Extraction results of different models on construction waste disposal sites dataset
Tab. 5 Results of ablation experiments on construction waste disposal sites dataset (%)
Tab. 6 Results of ablation experiments on building dataset in Changping District, Beijing (%)
Tab. 7 Time complexity assessment results for different methods
Fig. 8 Building extraction results in Changping District, Beijing
Fig. 9 Change in the building area of each administrative area in Changping District, Beijing
Tab. 8 Changes in building area and construction waste production in Changping District, Beijing
Tab. 9 Extraction results of construction waste disposal sites in Changping District, Beijing (m²)
Tab. 10 Calculation of construction waste landfill volume
Fig. 11 Error recognition case study

模态框（Modal）标题

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