DCAI-CLUD：以数据为中心的土地利用数据集构建框架

IF 4.3 1区地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Geographical Information Science Pub Date : 2024-08-05 DOI:10.1080/13658816.2024.2387200

Hao Wu, Zhangwei Jiang, Anning Dong, Ronghui Gao, Xiaoqin Yan, Zhihui Hu, Fengling Mao, Hong Liu, Pengxuan Li, Peng Luo, Zijin Guo, Qingfeng Guan, Yao Yao

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引用次数: 0

摘要

高质量的土地利用数据集对于构建高性能的土地利用分类模型至关重要。由于土地利用的复杂性和空间异质性，数据集的构建过程非常复杂。

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DCAI-CLUD: a data-centric framework for the construction of land-use datasets

A high-quality land-use dataset is crucial for constructing a high-performance land-use classification model. Due to the complexity and spatial heterogeneity of land-use, the dataset construction p...

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来源期刊

International Journal of Geographical Information Science 地学-计算机：信息系统

CiteScore

11.00

自引率

7.00%

发文量

审稿时长

9 months

期刊介绍： International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.