Cemetery Detection Using Satellite Images in Google Earth Engine

This work proposes a methodology to identify areas which may contain cemeteries by generating a grid over the terrain and then classify this grid with an ensemble of learning methods. The proposal is to characterize known cemeteries from satellite images information and building the training data. T...

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Bibliographic Details
Main Authors: Suarez, Ranyart Rodrigo, Villasenor, Elio
Format: Conference Proceeding
Language:English
Subjects:
Earth
google earth engine
Internet
Learning systems
machine learning
OBIA
remote sensing
satellite images
Satellites
Sensors
Support vector machines
Training data
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Description
Summary:This work proposes a methodology to identify areas which may contain cemeteries by generating a grid over the terrain and then classify this grid with an ensemble of learning methods. The proposal is to characterize known cemeteries from satellite images information and building the training data. The learning methods are the Google Earth Engine's implementation of Random Forests, Support Vector Machines and Gradient Tree Boost Classifier. Results show that using an ensemble of these learning algorithms can decrease the number of false positives in the classification. Furthermore, little or no tuning of the classifiers is required for the ensemble to achieve good accuracy.
ISSN:2573-0770
DOI:10.1109/ROPEC53248.2021.9668061