一种利用可见光波段无人机遥感的林下植被覆盖识别方法

A method to recognize vegetation cover of undergrowth based on visible unmanned aerial vehicle data

利用可见光无人机遥感数据,通过分析不同地物在像元和对象尺度上的光谱信息,建立一种利用归一化红绿差异指数NGRDI特征并结合面向对象思想的林下植被覆盖识别方法,并对试验区和验证区开展方法应用与适应性分析.分析结果表明:NGRDI在像元尺度可以很好地区分乔木、草地和裸土,在对象尺度也能较好地区分林下有植被覆盖区域和林下无植被覆盖区域,同时该指数能较好地消除地形因素等影响.试验区林下植被识别的总体精度为85.9%,Kappa系数为0.78;验证区林下无植被覆盖区域和林下有植被覆盖区域提取的正确率分别为82.9%和95.1%.故利用可见光无人机影像的NGRDI指数进行林下植被覆盖识别方法是可行的.

A method to recognize vegetation cover of undergrowth was proposed based on analysis of spectral characteristics different objects,which was under the use of UAV data.Futhermoer,accuracy analysis and method adaptability analysis was added related to the recognize of undergrowth vegetation cover.The result shows that normalized green-red difference index can not only effectively distinguish different objects,which included trees grassland and bare soil at pixel scale and understory with vegetation cover or not at object scale,but also can eliminate the influence of terrain factors.The overall accuracy and Kappa value was 85.9%and 0.78 respectively in study area,and the accuracy of understory recognize,with vegetation cover or not,was 82.9%and 95.1%respectively in validation area.For the above analysis,we have reasons to believe that it is feasible to recognize vegetation cover of undergrowth based on the method presented in this paper.