Benthic Habitat Mapping Model and Cross Validation Using Machine-Learning Classification Algorithms

Benthic Habitat Mapping Model and Cross Validation Using Machine-Learning Classification Algorithms

This research was aimed at developing the mapping model of benthic habitat mapping using machine-learning classification algorithms and tested the applicability of the model in different areas. We integrated in situ benthic habitat data and image processing of WorldView-2 (WV2) image to parameterise...

Full description

Bibliographic Details
Main Authors: Pramaditya Wicaksono, Prama Ardha Aryaguna, Wahyu Lazuardi
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Remote Sensing
Subjects:
classification
benthic habitat
machine-learning
mapping
random forest
support vector machine
classification tree analysis
accuracy assessment
Online Access:https://www.mdpi.com/2072-4292/11/11/1279

Internet

https://www.mdpi.com/2072-4292/11/11/1279

Similar Items