利用Kinect进行地面植被分层覆盖度估算研究

发布时间：2019-01-08 13:56

【摘要】：植被覆盖度(fractional vegetation cover,FVC)是一个重要的植被生物物理学参数,是一定空间尺度下所有植被覆盖比例的综合反映.植被垂直方向的异质性在很多应用中也需要考虑.目前遥感和地面测量对获取植被垂直结构都有待完善,新仪器、新方法仍在不断发展之中.本文采用一种商业化的3D体感摄影机——Kinect,其传感器具有彩色和深度镜头,相当于数码相机和激光雷达的结合.实验发现,Kinect能够用于获取空间相匹配的数码相片和深度图像,并得到植被的垂直剖面信息,进而计算垂直分层的FVC.受限于Kinect目前的有效探测范围,这种设备不能大规模地应用于野外测量中,但是它可为发展结合激光雷达和传统光学传感器获取植被参数的新方法提供测试数据.
[Abstract]:Vegetation coverage (fractional vegetation cover,FVC) is an important biophysical parameter of vegetation, which is a comprehensive reflection of all vegetation coverage ratios at a certain spatial scale. The vertical heterogeneity of vegetation also needs to be considered in many applications. At present, both remote sensing and ground survey need to be perfected to obtain the vertical structure of vegetation, and new instruments and methods are still under development. In this paper, a commercial 3D somatosensory camera, Kinect, is used. The sensor has color and depth lens, which is equivalent to the combination of digital camera and lidar. Experimental results show that Kinect can be used to obtain spatially matched digital photos and depth images, and to obtain vertical profile information of vegetation, and then calculate FVC. of vertical stratification. Limited by the current effective detection range of Kinect, this device cannot be used in field measurement on a large scale, but it can provide test data for the development of a new method combining lidar and traditional optical sensors to obtain vegetation parameters.
【作者单位】：北京师范大学地理科学学部;遥感科学国家重点实验室;环境遥感与数字城市北京重点实验室;
【基金】：国家自然科学基金资助项目(41331171) 国家重点基础研究发展计划(973计划)资助项目(2013CB733402)
【分类号】：Q948;TP79

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