Prof. Yawen He Profile

Prof. Yawen He

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Proceedings Article | 19 January 2024 Paper

Research on cultivated land plots extraction method based on ResNet optimization model

Xiaodong Fan, Ting Li, Min Ji, Yawen He

Proceedings Volume 12980, 1298007 (2024) https://doi.org/10.1117/12.3020914

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Cultivated land serves as the fundamental resource for agricultural production. As an essential component in precision agriculture, the rapid and accurate extraction of cultivated land plays a vital role in crop type identification, crop classification, and yield estimation. This study proposes a novel approach to improve the extraction method of cultivated land plots by leveraging the ResNet50 model as the backbone for feature extraction. Through integrating transfer learning and incorporating attention mechanisms, the fully connected layer of ResNet50 is replaced with the comprehensive Unet architecture. Experimental validation demonstrates that the proposed ResNet optimization model achieves significant enhancements in precision rate, recall rate, and F1-score for cultivated land plots extraction, with respective improvements of 6.25%, 5.63%, and 7.38% compared to the traditional Unet model. Thus, this research holds practical significance and provides valuable insights for the application and promotion of deep learning techniques in cultivated land parcel extraction.

Proceedings Article | 30 August 2023 Paper

An ontology-based approach to modeling ocean eddies in spatio-temporal objects

Yu Ma, Ting Li, Min Ji, Yawen He, Xiaodong Zhang

Proceedings Volume 12797, 127971N (2023) https://doi.org/10.1117/12.3007523

KEYWORDS: Data modeling, Semantics, Modeling, Data storage, Databases, Oceanography, Numerical analysis, Einsteinium, Classification systems, Process modeling

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Due to the problem of the heterogeneous nature of ocean eddy data sets and the difficulty of expressing their spatio-temporal processes, there have been no satisfactory tools for integrated ocean eddy data management and spatio-temporal process analysis so far. Based on the semantic analysis idea of ontology, this paper proposes and constructs an ontology model of ocean eddies that provides a normative framework for organizing ocean eddy data based on the five-tuple O=(C,T,S,P,R) to solve the problem of heterogeneous sources and heterogeneity of data collection. For the continuous gradual change process of eddies, this paper constructs an evaluation system of ocean eddy development stages based on the entropy weight method, and provides a more accurate numerical analysis of the eddy evolution process through evaluation indexes. Finally, under the constraints of the above model, this paper proposes and constructs a spatio-temporal object data model of the ocean eddies, and maps the eddies into a graphical database based on "nodes" and "relations", which provides a new idea for the data organization and spatio-temporal process expression of the ocean eddies. The research results show that this strategy can effectively solve the heterogeneous problem of ocean eddy data and improve the efficiency of storage, retrieval and fusion of eddy data in different development stages, and provide reference for the integration and sharing of ocean eddy data and tracking and prediction.

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