北京师范大学学报（自然科学版）2017，Vol.53Issue(5)：554-558,5.DOI:10.16360/j.cnki.jbnuns.2017.05.009
利用Kinect进行地面植被分层覆盖度估算研究
Estimating fractional vegetation cover at different heights via Kinect
摘要
Abstract
Proportion of vegetation cover per area,the fractional vegetation cover (FVC),is an important parameter in ecology and forestry studies.Trees,shrubs and undergrowth or short vegetation often contribute to estimated FVC.It is often difficult to distinguish fractions of each type.However,some knowledge of vertical distribution of vegetation is frequently useful.New equipment and new methods could often improve works in remote sensing and field measurements.A new equipment,Kinect,was used here to acquire vertical FVC information.Kinect is a motion-sensing device launched in 2010,composed of a red-green-blue (RGB) camera,an infrared laser emitter and a receiver.Kinect could be used to obtain RGB images and depth images simultaneously,resembling a combination of LiDAR (laser intensity direction and ranging) and digital camera.Depth and spectral information from Kinect could be used to describe vertical vegetation distribution and to estimate FVC on height parameter.Color information from RGB images and depth images could be used respectively for vegetation classification and FVC layering.Although there are still some limitations in the detecting range of Kinect,our experiments have shown potential of combining LiDAR and traditional optical sensors in field vegetation measurements.关键词
植被覆盖度/Kinect/植被垂直分层/激光雷达Key words
fractional vegetation cover (FVC)/Kinect/vertical distribution of vegetation/LiDAR分类
信息技术与安全科学引用本文复制引用
宋婉娟,陈一铭,穆西晗,尹沛榕,张孝斌,张吴明,阎广建..利用Kinect进行地面植被分层覆盖度估算研究[J].北京师范大学学报（自然科学版）,2017,53(5):554-558,5.基金项目
国家自然科学基金资助项目(41331171) （41331171）
国家重点基础研究发展计划(973计划)资助项目(2013CB733402) （973计划）
