Maize recognition and accuracy evaluation with GF-1 WFV sensor data

文献类型： 外文期刊

第一作者： Guo, Y.

作者： Guo, Y.;Li, S. M.;Wu, X. H.;Cheng, Y. Z.;Wang, L. G.;Liu, T.;Zheng, G. Q.;Li, S. M.

作者机构：

关键词： GF-1;maize classification;support vector machine (SVM);spectral angle mapper (SAM);accuracy evaluation

期刊名称：REMOTE SENSING OF THE ENVIRONMENT

ISSN： 0277-786X

年卷期： 2015 年 9669 卷

页码：

收录情况： SCI

摘要： As part of the "High-Resolution Earth Observation System", many major projects are being implemented. The first optical satellite (GF-1) in the high-resolution satellite series has completed in-orbit tests and entered the stage of data acquisition. GF-1 owns high resolution and information of wide field view sensor (WFV sensor) and the panchromatic and multispectral sensor (PMS sensor). In this study, GF-1 WFV sensor data with a resolution of 16 m, integrated with Landsat-8 and RapidEye data were selected to recognize maize in Xuchang using Support Vector Machine (SVM) and Spectral Angle Mapper (SAM) method. The results showed that the precision of classification varies greatly among WFV sensors. In particular, WFV3 was of the highest accuracy to identify crops and planting area with accuracy higher than Landsat-8 and close to RapidEye. With regard to WFV1 and WFV4, the application effect was worse and less viable to identify species of complex autumn crops. In brief, the classification accuracy of SVM classifier is better than SAM classifier. It can be also concluded that SVM is more suitable for the identification of crops and planting area of extraction in the study area.

分类号：

  • 相关文献

[1]Mapping of powdery mildew using multi-spectral HJ-CCD image in Beijing suburban area. Yuan, Lin,Zhang, Jingcheng,Zhao, Jinling,Huang, Linsheng,Yang, Xiaodong,Wang, Jihua,Yuan, Lin,Zhang, Jingcheng,Wang, Jihua,Huang, Linsheng. 2013

[2]APPLICATION OF GF-1 DATA IN AGRICULTRAL MONITORING IN CHINA. Chen Zhongxin,Zhou Qingbo,Liu Jia,Wang Limin,Teng Fei,Chen Zhongxin,Zhou Qingbo,Liu Jia,Wang Limin,Teng Fei. 2016

[3]Mapping regional cropping patterns by using GF-1 WFV sensor data. Song Qian,Zhou Qing-bo,Wu Wen-bin,Hu Qiong,Lu Miao,Liu Shu-bin. 2017

[4]FUSION AND ASSESSMENT OF HIGH-RESOLUTION WORLDVIEW-3 SATELLITE IMAGERY USING NNDIFFUSE AND BROVEY ALGOTIRHMS. Zhao, Jinling,Huang, Linsheng,Zhang, Dongyan,Wu, Zhaoli,Guo, Junjie,Zhao, Jinling,Huang, Linsheng,Zhang, Dongyan,Yang, Hao. 2016

[5]Perspective of Chinese GF-1 high-resolution satellite data in agricultural remote sensing monitoring. Zhou Qing-bo,Yu Qiang-yi,Liu Jia,Wu Wen-bin,Tang Hua-jun,Wu Wen-bin. 2017

[6]A SVM-Based Text Classification System for Knowledge Organization Method of Crop Cultivation. Ji, Laiqing,Cheng, Xinrong,Kang, Li,Li, Daoliang,Li, Daiyi,Chen, Yingyi,Wang, Kaiyi. 2012

[7]Assessing the Soil Fertility using Landsat TM Imagery and Geospatial Statistical Analysis. Zhao, Jinling,Wang, Dacheng,Zhang, Dongyan,Luo, Juhua,Huang, Wenjiang. 2012

[8]Comparison of Methods for Forecasting Yellow Rust in Winter Wheat at Regional Scale. Nie, Chenwei,Yuan, Lin,Yang, Xiaodong,Wei, Liguang,Yang, Guijun,Zhang, Jingcheng. 2015

[9]Embedded Speech Recognition Based on Multiclass Support Vector Machine. Zhao Junfeng,Zhu Yeping. 2011

[10]Geographical traceability of wild Boletus edulis based on data fusion of FT-MIR and ICP-AES coupled with data mining methods (SVM). Li, Yun,Zhang, Ji,Wang, Yuanzhong,Li, Yun,Zhang, Ji,Wang, Yuanzhong,Li, Yun,Liu, Honggao,Li, Jieqing,Li, Tao.

作者其他论文 更多>>

微信小程序