Land Cover Mapping of Boracay Island, Philippines Using Remote Sensing and Machine Learning-Reference-Cited by-同舟云学术

Land Cover Mapping of Boracay Island, Philippines Using Remote Sensing and Machine Learning

Published:2022-12-01 Issue: Volume: Page:
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Container-title:2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
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Author:

Akeboshi Wynnezel Wayne Naoto P¹,Santiago Robert Martin²,Coching Jerahmeel Kua¹,Lim Pe Adrian Jenssen¹,Dy Yeung Seth Gabriel¹,Sybingco Edwin²,Billones Robert Kerwin¹

Affiliation:

1. De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines

2. De La Salle University,Department of Electronics and Computer Engineering,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10109352/10109274/10109464.pdf?arnumber=10109464

Reference23 articles.

1. Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery;phan;SENSORS,2018

2. Machine Learning Basics with the K-Nearest Neighbors Algorithm;harrison;Towards Data Science,2018

3. Visual Percepts Quality Recognition Using Convolutional Neural Networks;billones;Advances in Intelligent Systems and Computing,2020

4. Unsupervised Classification for Landslide Detection from Airborne Laser Scanning

5. Gaussian Mixture Models Explained;carrasco;Towards Data Science,2019

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