太阳成8722(中国)有限公司-GREEN NO.1

标题: Multiresolution Mapping of Land Cover From Remote Sensing Images by Geometric Generalization

作者: Shen, YL (Shen, Yilang); Li, JZ (Li, Jingzhong); Zhao, R (Zhao, Rong); Han, FF (Han, Fengfeng)

来源出版物: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING DOI: 10.1109/TGRS.2021.3076798 提前访问日期: MAY 2021

摘要: Land cover multiresolution mapping of remote sensing images contributes greatly to land-use management, environmental protection, and city planning. In traditional mapping of this type, the representation of different land-use types depends on the image resolution, and the geometric, topologic, and semantic characteristics are not considered. This approach can cause a loss of useful information and the redundancy of useless information. In this study, we propose a superpixel-based land cover (multiresolution representation SULR) method for remote sensing images that employs multifeature fusion. In this process, we first define three basic superpixel operations, collapse, connection, and cutting, as the basic operators of multiresolution land cover mapping. Then, the topological adjacent land parcels are combined through the amalgamation of polygons with heterogeneous properties and aggregation of polygons with homogeneous properties based on the three proposed superpixel operators. Finally, the geometric boundaries of parcels are simplified by combining the superpixel collapse operator and image thinning technologies. Compared with traditional image scale transformation methods, the proposed method can more effectively achieve multiresolution mapping of land cover from remote sensing images by considering the geometric, topologic, and semantic characteristics of land parcels.

作者关键词: Remote sensing; Spatial resolution; Semantics; Interpolation; Sensors; Research and development; Laplace equations; Land cover; multiresolution mapping; remote sensing images; superpixel segmentation

地址: [Shen, Yilang; Li, Jingzhong] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

[Zhao, Rong] Chinese Acad Surveying & Mapping, Inst Cartog & Geog Informat Syst, Beijing 100830, Peoples R China.

[Han, Fengfeng] Wuda Geo Informat Technol Controls Ltd, Wuhan 430223, Peoples R China.

通讯作者地址: Shen, YL (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

电子邮件地址: 00009232@whu.edu.cn

影响因子：5.6