Invention Grant
US09477899B2 System and method for differentiating type of vegetation from remotely sensed data 有权
用于区分植被类型与遥感数据的系统和方法

System and method for differentiating type of vegetation from remotely sensed data
Abstract:
A computer system is programmed to analyze data from aerial images and LiDAR data obtained from a region of interest in order to determine whether a group of LiDAR data points representing an individual item of vegetation (i.e. a blob) is a particular type of vegetation. Infrared data from aerial images of the region of interest is stretched and divided by red spectral data to compute an objective-stretched vegetation index value (OVI) for a pixel. The mean LiDAR intensity and the mean OVI for the LiDAR data points and the pixels in the area of a blob are used to predict what type of vegetation is represented in the area of the blob.
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