Hierarchical Segmentation Framework for Identifying Natural Vegetation: A Case Study of the Tehachapi Mountains, California

Hierarchical Segmentation Framework for Identifying Natural Vegetation: A Case Study of the Tehachapi Mountains, California

Two critical limitations of very high resolution imagery interpretations for time-series analysis are higher imagery variances and large data sizes. Although object-based analyses with a multi-scale framework for diverse object sizes are one potential solution, more data requirements and large amou...

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Bibliographic Details
Main Author: Yan-Ting Liau
Format: Article
Language:English
Published: MDPI AG 2014-08-01
Series:Remote Sensing
Subjects:
object-based image analysis
image segmentation optimized for delineation of tree density
very high resolution imagery
species association labeling
the Z values of Moran’s I
Online Access:http://www.mdpi.com/2072-4292/6/8/7276

Internet

http://www.mdpi.com/2072-4292/6/8/7276

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