摘要
聚焦基于航空影像的江汉平原耕地边界自动化识别与提取问题,引入城市道路网空间研究,以弥补传统耕地地块边界提取方法的缺陷。探索将不同形态的耕地地块边界看作城市路网空间中的道路,构建耕地地块边界的类城市路网空间;将地块边界组织在一个类城市路网空间环境中,引入合适的深度学习模型,用以提取全局静态多形态的耕地地块边界。总的来说,基于前期成果积累和现阶段方法探索,对解决基于航空影像的江汉平原耕地边界自动化识别与提取问题给出了可行性研究,为其他学者开展面向平原农业应用的农田地块边界研究提供了支持和启发。
Focusing on the automatic recognition and extraction of plowland boundary in Jianghan Plain based on aerial images,the urban road network space research was introduced to make up for the defects of traditional farmland boundary extraction.The boundary of the plowland parcel in different forms was considered as roads in the urban road network space,and the road-like network space of plowland parcel boundary was constructed.The land parcel boundary was organized in a road-like network space environment,and an appropriate deep learning model was introduced to extract the global static and multi-morphological land parcel boundary.In general,based on the accumulation of previous achievements and the exploration of methods at this stage,a feasibility study had been made to solve the problem of automatic identification and extraction of cultivated land boundary in Jianghan Plain based on aerial images,which provided support and inspiration for other scholars to carry out research on farmland parcel boundary for plain agricultural applications.
作者
郑明雪
沈祥成
罗治情
陈娉婷
官波
马海荣
ZHENG Ming-xue;SHEN Xiang-cheng;LUO Zhi-qing;CHEN Pin-ting;GUAN Bo;MA Hai-rong(Institute of Agricultural Economy and Technology,Hubei Academy of Agricultural Sciences/Hubei Agricultural Science and Technology Innovation Center Agricultural Economic and Technological Research Sub-Center/Hubei Rural Revitalization Research Institute,Wuhan 430064,China)
出处
《湖北农业科学》
2022年第23期184-189,共6页
Hubei Agricultural Sciences
基金
湖北省农业科技创新中心项目(2022NKYJJ18)。
关键词
耕地
地块边界提取
类城市路网
农业应用
plowland
farmland boundary extraction
road-like network
agricultural application
