Mapping Robinia Pseudoacacia Forest Health Conditions by Using Combined Spectral, Spatial, and Textural Information Extracted from IKONOS Imagery and Random Forest Classifier
The textural and spatial information extracted from very high resolution (VHR) remote sensing imagery provides complementary information for applications in which the spectral information is not sufficient for identification of spectrally similar landscape features. In this study grey-level co-occur...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-07-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/7/7/9020 |