Hierarchical classification approach for mapping rubber tree growth using per-pixel and object-oriented classifiers with SPOT-5 imagery

Hierarchical classification approach for mapping rubber tree growth using per-pixel and object-oriented classifiers with SPOT-5 imagery

There has been growing interest in Malaysia to increase the productivity of latex. This made accurate knowledge of rubber tree growth and age distribution a helpful decision making tool for the government, rubber plantation managers, and harvesters. Gathering this information using conventional meth...

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Bibliographic Details
Main Authors: Hayder Dibs, Mohammed Oludare Idrees, Goma Bedawi Ahmed Alsalhin
Format: Article
Language:English
Published: Elsevier 2017-06-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
Rubber trees
Classification algorithms
Agriculture
Remote sensing
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982317300108

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