Ponte Academic Journal Dec 2020, Volume 76, Issue 12 |
SUPPORT VECTOR MACHINES ALGORITHM FOR LAND COVER MAPPING USING GOOGLE EARTH ENGINE CASE STUDY SUB-WATERSHED OF OUED EL ARABE Author(s): Chakali Ahmed Nadjib ,Zeraib Salah, Abderrahmane Ben Salem HACHI J. Ponte - Dec 2020 - Volume 76 - Issue 12 doi: 10.21506/j.ponte.2020.12.10 Abstract: With the rapid growth in big data, classification is becoming a necessary tool for
practitioners and decision-makers in many fields of research. Several classifications
techniques have been developed in the area of machine-learning and pattern recognition. In
this paper, we try to present the outline of the main stages through which a supervised
classification under the support vector machine algorithm is processed. We utilize a method
for applying SVM learning algorithm for data classification and regression purposes under a
cloud computing platform. We also point out that we have taken benefit of the various
advantages offered by the Google Earth Engine platform through which we have found that in
addition to guaranteed saving of time and effort, this platform has produced perfect results of
high precision. The latter can be shown in two precision indicators that we used and which
yielded very satisfactory results.
|
Download full text: Check if you have access through your login credentials or your institution |
|
Guide for Authors
This guideline has been prepared for the authors to new submissions and after their manuscripts have been accepted |
Authors Login
We welcome refrees who would be willing to act as reviewers |
Paper Tracking
You can track your submitted article from this tab |
Editorial Board
The international editorial board is headed by Dr. Maria E. Boschi |
General Policies
Papers that are published or held by the Journal may not be published elsewhere |
Peer Review Process
Papers will be sent to three peer reviewers for evaluation |