The effect of spatial and radiometric resolutions of aerial images for tree species classification by object-based approach
The optimal computational capability for analyzing multispectral aerial images e.g. for fine-scale tree species mapping is often considerably constrained by their enormous data volume. This may be mainly reflected in a reduction in the speed of data processing as well as in their archiving. This res...
Main Authors: | Omid Refieyan, Ali Asghar Darvishsefat |
---|---|
Format: | Article |
Language: | fas |
Published: |
Research Institute of Forests and Rangelands of Iran
2014-03-01
|
Series: | تحقیقات جنگل و صنوبر ایران |
Subjects: | |
Online Access: | http://ijfpr.areeo.ac.ir/article_9062_4fd2d25f430af3f9ced7bb217171cda3.pdf |
Similar Items
-
Object-Based Classification of UltraCamD Imagery for Identification of Tree Species in the Mixed Planted Forest
by: Rafieyan, O., et al.
Published: (2011-10-01) -
Assessment of Radiometric Resolution Impact on Remote Sensing Data Classification Accuracy
by: Natalia Verde, et al.
Published: (2018-08-01) -
Land-cover classification with an expert classification algorithm using digital aerial photographs
by: Alberto Perea, et al.
Published: (2010-06-01) -
Land-cover classification with an expert classification algorithm using digital aerial photographs
by: Alberto Perea, et al.
Published: (2010-06-01) -
Land-cover classification with an expert classification algorithm using digital aerial photographs
by: Alberto J. Perea, et al.
Published: (2010-06-01)