山东农业科学2024，Vol.56Issue(12)：163-170,8.DOI:10.14083/j.issn.1001-4942.2024.12.022
遥感影像耕地提取的研究进展与展望
Research Progress and Prospect of Cultivated Land Extraction from Remote Sensing Images
摘要
Abstract
Obtaining real-time and accurate information on cultivated land distribution is a critical task in modern land resource management and high-quality agricultural development.With the rapid development of satellite technology,remote sensing monitoring has gradually become an important method for extracting culti-vated land information.At the same time,deep learning technology has risen rapidly and is increasingly be-coming a pivotal technique for cultivated land extraction from remote sensing imagers.In this paper,recent re-search findings on cultivated land extraction both domestically and internationally were summarized,the limita-tions of traditional extraction algorithms,and the positive significance of high-resolution remote sensing images to cultivated land extraction were elaborated.The fundamental processes of cultivated land extraction were out-lined,and the primary development stages and research strategies of cultivated land extraction algorithms were reviewed,and the main optimization methods for such algorithms,and the application of multi-task network models were summarized.Finally,the limitations of current deep learning algorithms were discussed and future trends in the development of cultivated land extraction technologies were anticipated.关键词
耕地提取/深度学习/语义分割/高分辨率影像Key words
Cultivated land extraction/Deep learning/Semantic segmentation/High resolution image分类
农业科技引用本文复制引用
巫志雄,李乔宇,王宗良,曾世伟..遥感影像耕地提取的研究进展与展望[J].山东农业科学,2024,56(12):163-170,8.基金项目
国家重点研发计划项目(2021YFB3901300) （2021YFB3901300）
山东省农业科学院农业科技创新工程项目(CXGC2023D02) （CXGC2023D02）
