Predicting Tree Species From Aerial Imagery

摘要

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.

主权项

1. A computer-implemented method, comprising:
(a) receiving an image of a portion of the Earth; (b) detecting one or more tree crowns in the image; (c) for each of the one or more tree crowns:
(i) representing the respective tree crown as a color, texture and entropy histogram;(ii) reducing the dimensionality of the color, texture and entropy histogram to produce a reduced dimensionality color, texture, and entropy histogram; (d) clustering, into one or more clusters, similar reduced dimensionality color, texture and entropy histograms for the one or more tree crowns; and (e) assigning each cluster to a tree species to match each detected tree crown to a corresponding tree species.