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遥感技术与应用
遥感应用     
基于GF-1影像的冬小麦和油菜种植信息提取
姬忠林1,2,张月平3,李乔玄1,2,刘绍贵3,李淑娟2,任红艳2#br#
(1.福建师范大学地理科学学院,福建福州350007;
2.中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101;
3.扬州市耕地质量保护站,江苏扬州 225101)
PlantingInformation Extraction of Winter Wheatand Rape based on GF-1 Images
Ji Zhonglin1,2,Zhang Yueping3,Li Qiaoxuan1,2,Liu Shaogui3,Li Shujuan2,Ren Hongyan2
(1.College of Geographical Sciences,Fujian Normal University,Fuzhou 350007,China;2.State Key Laboratory of Resources and Environmental Information System,Institute ofGeographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;3.Yangzhou Station of Farmland Quality Protection,Yangzhou 225101,China)
 全文: PDF(3278 KB)  
摘要:
高分(GF)系列卫星的相继发射为国产高分辨率遥感数据的应用创造了新的机遇。为探索GF数据在中小尺度农作物遥感监测领域中的可行性和建立相适应的技术体系,以扬州市为例,运用决策树模型和面向对象分类方法,研究GF\|1卫星的宽视场(wide field of view,WFV)数据在农作物种植信息提取中的可行性,并探索提高其提取精度的处理方法。结果表明:分区处理可以降低作物空间分布对种植区提取的不利影响;冬小麦总体精度为97%,Kappa系数为0.93;油菜总体精度为96%,Kappa系数为0.84。综上所述,国产GF\|1 WFV影像可以应用于农作物种植信息的提取,并为粮区农作物种植空间调整和优化管理提供重要参考和决策支持。
关键词: GF-1农作物种植信息决策树面向对象    
Abstract: Successive emission of high resolution satellite has created new opportunities for the application of domestic high resolution remote sensing data.In order to explore the feasibility of GF data in the field of small and medium scale crop remote sensing monitoring and to establish a suitable technical system,with Yangzhou as an example,using decision tree model and object oriented classification method to research the feasibilityon crop planting information extraction of GF wide field viewdata.And explore the method to improve the accuracy.The results showed that,sub\|regionpretreatmentcan reduce the adverse effects of crop spatial distribution on the extraction of the planting area.The overall accuracy of winter wheat was 97%,the Kappa coefficient was 0.93;the overall accuracy of rape was 96%,the Kappa coefficient was 0.84.Research shows thatdomestic GF\|1 WFV images can be applied to the crop planting informationextraction,and toprovide an important reference and decision support for adjusting crop spatial and optimizing management of gain producing areas.


Key words: GF-1    Crop PlantingInformation    Decision tree    Object oriented
收稿日期: 2016-09-21 出版日期: 2017-09-13
:  TP 79  
基金资助: 国家重大科技专项项目“新能源评估研究示范”课题(30\|Y30B13\|9003\|14/16\|04),国家自然科学基金项目(41571158)。


作者简介: 姬忠林(1992-),男,山东莘县人,硕士研究生,主要从事遥感信息提取、资源环境分析等方面的研究。Email:jizhonglingis@126.com
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姬忠林,张月平,李乔玄,刘绍贵,李淑娟,任红艳. 基于GF-1影像的冬小麦和油菜种植信息提取[J]. 遥感技术与应用, 10.11873/j.issn.1004-0323.2017.4.0760.

Ji Zhonglin,Zhang Yueping,Li Qiaoxuan,Liu Shaogui. PlantingInformation Extraction of Winter Wheatand Rape based on GF-1 Images. Remote Sensing Technology and Application, 10.11873/j.issn.1004-0323.2017.4.0760.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2017.4.0760        http://www.rsta.ac.cn/CN/Y2017/V32/I4/760

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