The Extraction of Wheat Lodging Area in UAV’s Image Used Spectral and Texture Features
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Wheat lodging makes great effects on the output and subsequent production, so we need to know the situation of wheat lodging at the first time quickly and efficiently. The characters of Unmanned Aerial Vehicle remote sensing just meet the demands. Firstly, the spectral and texture features are analyzed, and the area of wheat lodging is extracted using methods of object-oriented and the extraction is analyzed and compared. The research results of this paper is the successful practice of Agricultural scientific research and application by using Unmanned Aerial Vehicle remote sensing and Object-oriented extraction technology, so it have important application value and meaningful.
[1] Chen Jun. Key Issues of Continuous Updating of Geo-spatial Databases , 2004 .
[2] Jie Jiang,et al. 基础地理数据库的持续更新问题 = Key issues of continuous updating of geo-spatial databases , 2004 .
[3] J. F. Ortega,et al. Estimation of leaf area index in onion (Allium cepa L.) using an unmanned aerial vehicle , 2013 .
[4] Frédéric Baret,et al. Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots , 2008, Sensors.