标题: Use of Multi-Feature Extraction and Transfer Learning to Identify Urban Villages in China

作者: Shu, YQ (Shu, Yuqing); Cai, ZL (Cai, Zhongliang); Li, GE (Li, Guie); Yan, QW (Yan, Qingwu); Li, BZ (Li, Bozhao); Si, WC (Si, Wencai); Qiao, DX (Qiao, Dongxiang)

来源出版物: REMOTE SENSING  卷: 17  期: 3  文献号: 424  DOI: 10.3390/rs17030424  Published Date: 2025 FEB  

摘要: Urban villages (UVs) are the most typical urban informal settlements in China, and the study of an effective identification method for UVs can help to provide a reference for the development of locally adapted UV transformation policies. In order to reduce the cost of labeling and enhance transferability, this study integrates remote sensing and social sensing data and applies sample migration from a labeled area to a less labeled area based on the theory of transfer learning. There are two main results of this study: (1) This study constructed a feature system for UV identification based on multi-feature extraction using a block as a unit, and experiments based on Tianhe District achieved an overall accuracy of 90% and a kappa coefficient of 0.76. (2) Using Tianhe District as the source domain and Jiangan District as the target domain, samples from the source domain were reused based on the KMM, TCA, and CORAL algorithms. The CORAL+RF algorithm showed the best performance, where its overall accuracy reached 97.06% and its kappa coefficient reached 0.89, and its overall accuracy reached 91.17% and its kappa coefficient reached 0.67 in the case of no target domain labeling. To sum up, the identification method for UVs proposed in the present study provides theoretical references for identification methods for UVs in different geographical areas.

作者关键词: urban village; urban informal settlement; transfer learning; multi-feature extraction; remote sensing identification

KeyWords Plus: REGION; EVOLUTION; IMAGES; REMOTE

地址: [Shu, Yuqing; Cai, Zhongliang; Li, Bozhao] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Li, Guie; Yan, Qingwu] China Univ Min & Technol, Sch Publ Policy & Management, Xuzhou 221116, Peoples R China.

[Si, Wencai] Zhejiang Acad Surveying & Mappin, Hangzhou 311121, Peoples R China.

[Qiao, Dongxiang] Star Map Press, Beijing 100088, Peoples R China.

通讯作者地址: Cai, ZL (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: shuyuqing@whu.edu.cn; zlcai@whu.edu.cn; geli@cumt.edu.cn; yanqingwu@cumt.edu.cn; libozhao@whu.edu.cn; swcfantasy@163.com; qdx19722025@163.com

影响因子：4.2