遥感自动解译在农作物种植结构调查中的应用  

Application of Remote Sensing Automatic Interpretation in Crop Planting Structure Survey

作　　者：姜丽丽[1] 李晶晶[1] 刘红军[1] JIANG Lii;LI Jingjing;LIU Hongjun(Research Institute of Surveying and Mapping Science of Heilongjiang Province,Harbin 150081,China)

机构地区：[1]黑龙江省测绘科学研究所,黑龙江哈尔滨150081

出　　处：《测绘与空间地理信息》2023年第S01期48-50,共3页Geomatics & Spatial Information Technology

摘　　要：农作物遥感分类识别中应用遥感解译和地理信息等技术手段,为农作物种植结构调查工作奠定了基础。在每年度的高分辨率遥感影像的基础上,按照统一的技术标准,在自动解译分类的基础上辅以人工,快速获得每年度主要的农作物耕地图斑,完成本年度的农作物种植结构调查工作。遥感技术的应用加快了农作物种植结构调查各个环节的数据流动,提高解译准确率,数据的采集精度和时效性都要比以往的效果更好,可为有效落实耕地轮作休耕等政策提供技术和数据支持。本文以逊克县为试验区,针对当前农作物分类工作过程中应当注意的问题进行分析与整理,总结经验和方法,更好地将遥感技术应用到农作物种植结构调查工作中去。The application of remote sensing interpretation and geographic information technology in crop remote sensing classification and recognition has laid the foundation for the investigation of crop planting structure.On the basis of high-resolution remote sensing images of each year,in accordance with unified technical standards,with automatic interpretation and classification supplemented by manual labor,the main crop cultivated land patches of each year are quickly obtained,and the survey of crop planting structure for this year is completed.The application of remote sensing technology has accelerated the data flow in various stages of crop planting structure investigation,improved the accuracy of interpretation,and achieved better results in data collection accuracy and timeliness than before.It provides technical and data support for effectively implementing policies such as farmland rotation and fallow.This arti-cle takes Xunke county as the experimental area,analyzes and organizes the issues that should be paid attention to in the current process of crop classification,summarizes experience and methods,and better applies remote sensing technology to the investigation of crop planting structure.

关 键 词：农作物种植结构 遥感自动解译 高分辨率遥感影像 样本训练 

分 类 号：P237[天文地球—摄影测量与遥感]