中国农业大学学报2024，Vol.29Issue(8)：223-236,14.DOI:10.11841/j.issn.1007-4333.2024.08.19
面向对象多层次多尺度分割的农用大棚类型信息提取
Information extraction of agricultural greenhouses types based on object-oriented multi-level multi-scale segmentation
摘要
Abstract
In order to refine the extraction and identification and classification of different agricultural shed types,this study takes different shed types in Hetao Irrigation District of Inner Mongolia as the research object,and based on Sentinel-2A satellite data,adopts object-oriented combined with multi-layer and multi-scale segmentation technology and threshold classification method to extract information on shed types and carry out accuracy evaluation and analysis research on the final extraction results.Firstly,the Estimation of Scale Parameter2(ESP2)method is used to perform hierarchical segmentation and the optimal segmentation scales were obtained for different levels.Then,the spectral features,indices feature,geometric features and the textural features were extracted and optimized on the optimal segmentation scale to obtain the optimal feature combination.A threshold classification method of multi-level multi scale segmentation methodology was developed to map the different types of greenhouses.The results indicated that the overall accuracy of mapping different types of greenhouses achieved 94.8％,and the Kappa coefficient was 0.93.The producer's and user's accuracy of plastic greenhouse were 95.3％and 96.6％,respectively.While,the producer's and user's accuracy of single roof greenhouse were 88.5％and 92.6％,respectively.The object-oriented multi-level multi-scale segmentation methodology for mapping different types of greenhouses considers the different optimal segmentation scales of different ground objects at different levels respectively,therefore this method can suppress the over-segmentation or sub-segmentation problems and reduce the misclassification/missing ratio.Therefore,the combination of the high-resolution satellite data with object-oriented multi-level multi-scale segmentation method mapping different types of greenhouses can effectively improve the mapping accuracy and provide a certain reference for the technical system for precious mapping of ground object distribution.关键词
大棚类型/精细提取/Sentinel-2A卫星数据/面向对象影像分析/多层多尺度分割分类Key words
greenhouses types/precious mapping/Sentinel-2 satellite data/object-based image analysis/multi-level multi-scale segmentation分类
天文与地球科学引用本文复制引用
王乌云,李斐,哈斯图亚,哈申高娃..面向对象多层次多尺度分割的农用大棚类型信息提取[J].中国农业大学学报,2024,29(8):223-236,14.基金项目
国家自然科学基金项目(42001366,42261066) （42001366,42261066）
高等学校青年科技人才发展计划项目(NJYT22047) （NJYT22047）
内蒙古自治区科技计划项目(2021GG0081) （2021GG0081）
高校基本科研业务费项目-青年教师科研能力提升项目(BR220110) （BR220110）
