Invention Grant
- Patent Title: Predicting tree species from aerial imagery
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Application No.: US13166356Application Date: 2011-06-22
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Publication No.: US09704042B2Publication Date: 2017-07-11
- Inventor: Xiaqing Wu , Lin Yang
- Applicant: Xiaqing Wu , Lin Yang
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE INC.
- Current Assignee: GOOGLE INC.
- Current Assignee Address: US CA Mountain View
- Agency: Marshall, Gerstein & Borun LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/46 ; G06K9/62

Abstract:
Embodiments determine the species of trees present in an aerial image. Tree crowns are detected in a received image, and represented as histograms of their color, texture and entropy features. Similar trees are clustered together. Using classification techniques, each cluster is assigned the closest species. The species information for each tree may be used in a rendering of the tree in geographical information systems.
Public/Granted literature
- US20150161780A1 Predicting Tree Species From Aerial Imagery Public/Granted day:2015-06-11
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