首页|期刊导航|地球空间信息科学学报（英文版）|A classification framework with multi-level fusion of object-based analysis and convolutional neural network:a case study for land use classification in mining areas
地球空间信息科学学报（英文版）2025，Vol.28Issue(3)：中插3,867-883,18.DOI:10.1080/10095020.2024.2336594
A classification framework with multi-level fusion of object-based analysis and convolutional neural network:a case study for land use classification in mining areas
A classification framework with multi-level fusion of object-based analysis and convolutional neural network:a case study for land use classification in mining areas
摘要
关键词
Mining areas/land use classification/object-based analysis/DenseNetKey words
Mining areas/land use classification/object-based analysis/DenseNet引用本文复制引用
Jianghe Xing,Zhenwei Li,Jun Li,Shouhang Du,Wei Li,Chengye Zhang..A classification framework with multi-level fusion of object-based analysis and convolutional neural network:a case study for land use classification in mining areas[J].地球空间信息科学学报（英文版）,2025,28(3):中插3,867-883,18.基金项目
This work was supported by the National Natural Science Foundation of China[grant number 42271480],the Fundamental Research Funds for the Central Universities[grant numbers 2022YQDC08,2022XJDC02,and BBJ2023026],the Open Foundation of the Key Laboratory of Coupling Process and Effect of Natural Resources Elements[grant number 2022KFKTC001]. （）
