摘要
为了得到合适的遥感数据来获取植物的生长信息从而对农作物种植类型进行识别,以安徽省滁州市全椒县为研究区,选择SAR(GF-3)数据和光学遥感数据作为数据源,将SAR数据与光学数据进行融合,并把SAR数据分类结果、光学数据分类结果与融合后的数据结果进行对比分析,从而对农作物种植类型识别进行研究。通过分类结果数据对比三者数据发现,在农作物识别中,SAR数据能够很好地辅助光学影像用于农作物种植类型;SAR数据与光学遥感数据的融合对研究区的农作物有很好的识别效果。
In order to acquire the appropriate remote sensing data to obtain the plant growth information and identify the planting types of crops,the authors chose Quanjiao of Chuzhou in Anhui Province as the research area and the SAR(GF-3)data and optical remote sensing data as the data source to fuse optical data with the SAR data and make a comparative study of data classification results,optical and SAR data classification results and the data fusion results so as to conduct crop type identification.The comparison of the data of classification results reveals that SAR data can be used as a good auxiliary optical image for crop planting types in crop recognition.The fusion of SAR data and optical remote sensing data has a good identification effect on crops in the research area.
作者
江珊
王春
宋宏利
刘玉锋
JIANG Shan;WANG Chun;SONG Hongli;LIU Yufeng(School of Geosciences and Engineering, Hebei University of Engineering, Handan 056000, China;Anhui Key Laboratory of Physical Geography and Environment of Chuzhou University, Chuzhou 239000, China;School of Remote Sensing and Mapping Engineering, Nanjing University of Information Engineering, Nanjing 210044, China)
出处
《国土资源遥感》
CSCD
北大核心
2020年第4期105-110,共6页
Remote Sensing for Land & Resources
基金
国家自然科学基金面上基金项目“面向地貌形态模式识别的地形空间关系研究”(编号:41571398)资助。
作者简介
第一作者:江珊(1997-),女,硕士研究生,主要从事3S集成应用与智能分析技术研究,Email:1140256429@qq.com。
