博士生导师
硕士生导师
个人信息Personal Information
学历：博士研究生毕业
学位：工学博士学位
办公地点：西南交通大学犀浦校区地球科学与工程学院 X4139
毕业院校：西南交通大学
学科：测绘科学与技术
所在单位：地球科学与工程学院
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IBCO-Net: Integrity-Boundary-Corner Optimization in a General Multistage Network for Building Fine Segmentation From Remote Sensing Images
DOI码：10.1109/TGRS.2023.3310534
发表刊物：IEEE Transactions on Geoscience and Remote Sensing
摘要：Building extraction is a significant topic in high-resolution remote sensing. Insufficient integrity, irregular boundaries, and inaccurate corners remain a problem for existing methods. However, individually optimizing one of these aspects may leave problems in others. Unfortunately, few methods consider integrity, boundary, and corner simultaneously. In this study, we propose a three-stage network [integrity-boundary-corner optimization in a general multistage network (IBCO-Net)] incorporating integrity-boundary-corner optimization for fine segmentation of buildings. First, long-range dependent and spatial-continuous (LDSC) blocks are plugged into the decoder to enhance building integrity. Second, the direction field correction module (DFCM) controls the overall shape of the building by learning the direction field and executing an iterative correction algorithm. Finally, the multistrategy point refinement module (MSPRM) selects boundary and corner points for reclassification to further refine the boundary and relocate corners, and a hybrid loss function supervises IBCO-Net to optimize each stage. Comparative experiments were conducted on three datasets: the Massachusetts building dataset, the ISPRS Potsdam dataset, and the dataset of building instances of typical cities in China. We evaluated common pixel-level metrics and object-level boundary and corner metrics, with experimental results showing that IBCO-Net outperforms eight state-of-the-art convolution neural network (CNN) and transformer-based methods. In addition, the generality of the proposed method is demonstrated via its performance by applying nine existing backbone networks.
卷号：61
页面范围：1-19
是否译文：否
发表时间：2023-08-31
收录刊物：SCI