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Innovative Decision Fusion for Accurate Crop/Vegetation Classification with Multiple Classifiers and Multisource Remote Sensing Data

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成果类型:
期刊论文
作者:
Shuai, Shuang;Zhang, Zhi;Zhang, Tian;Luo, Wei;Tan, Li;...
通讯作者:
Zhang, Z
作者机构:
[Duan, Xiang; Wu, Jie; Shuai, Shuang] Wuhan Polytech Univ, Sch Civil Engn & Architecture, Wuhan 430023, Peoples R China.
[Zhang, Zhi; Zhang, Z] China Univ Geosci Wuhan, Sch Geophys & Geomat, Wuhan 430074, Peoples R China.
[Zhang, Tian] China Commun Construct Co Second Highway Consultan, Wuhan 430056, Peoples R China.
[Tan, Li; Luo, Wei] Wuhan Univ Technol, Sch Management, Wuhan 430023, Peoples R China.
通讯机构:
[Zhang, Z ] C
China Univ Geosci Wuhan, Sch Geophys & Geomat, Wuhan 430074, Peoples R China.
语种:
英文
关键词:
crop/vegetation mapping;remote sensing;decision-level fusion;OAI-MV;E-OAI
期刊:
Remote Sensing
ISSN:
2072-4292
年:
2024
卷:
16
期:
9
页码:
1579-
基金类别:
Conceptualization, S.S. and Z.Z.; methodology, S.S. and T.Z.; software, S.S., W.L. and L.T.; validation, Z.Z. and T.Z.; writing—original draft, S.S. and Z.Z.; writing—review and editing, Z.Z., S.S., X.D. and J.W.; visualization, J.W. and S.S.; funding acquisition, Z.Z. and S.S. All authors have read and agreed to the published version of the manuscript. This research was funded by Scientific research project of Wuhan Polytechnic University (Grant 2023RZ025) and the Key Laboratory of the Northern Qinghai–Tibet Plateau Geological Processes and Mineral Resources (Grant 2019-KZ-01).
机构署名:
本校为其他机构
院系归属:
土木工程与建筑学院
管理学院
摘要:
Obtaining accurate and real-time spatial distribution information regarding crops is critical for enabling effective smart agricultural management. In this study, innovative decision fusion strategies, including Enhanced Overall Accuracy Index (E-OAI) voting and the Overall Accuracy Index-based Majority Voting (OAI-MV), were introduced to optimize the use of diverse remote sensing data and various classifiers, thereby improving the accuracy of crop/vegetation identification. These strategies were utilized to integrate crop/vegetation classification outcomes from distinct feature sets (includin...

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