Invention Grant
- Patent Title: System and method for differentiating type of vegetation from remotely sensed data
- Patent Title (中): 用于区分植被类型与遥感数据的系统和方法
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Application No.: US14297039Application Date: 2014-06-05
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Publication No.: US09477899B2Publication Date: 2016-10-25
- Inventor: Yuzhen Li , Zhenkui Ma
- Applicant: WEYERHAEUSER NR COMPANY
- Applicant Address: US WA Federal Way
- Assignee: Weyerhaeuser NR Company
- Current Assignee: Weyerhaeuser NR Company
- Current Assignee Address: US WA Federal Way
- Agency: Perkins Coie LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46

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.
Public/Granted literature
- US20150356721A1 SYSTEM AND METHOD FOR DIFFERENTIATING TYPE OF VEGETATION FROM REMOTELY SENSED DATA Public/Granted day:2015-12-10
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