Comparative Analysis of Object-Based and Pixel-Based Classification of High-Resolution Remote Sensing Images for Mapping Coral Reef Geomorphic Zones

DOI

10.2991/assehr.k.200529.208How to use a DOI?

Keywords

image processing, image, remote sensing

Abstract

Coral reefs ecosystem has great value in terms of economy, culture, and biology for the global society and is the most productive and diverse biological ecosystem in the world. Earth observation from space so called remote sensing technology by using high-resolution Satellite, offers powerful capabilities for understanding, forecasting, managing, monitoring and decision making about coral reefs ecosystem. This study focuses on the comparison analysis between Object Base and Pixel Base image classifications of remote sensing imagery for Mapping Coral Reef Geomorphic Zones in the Karimunjawa National Park. The accuracy of each method was assessed using reference data sets derived from high-resolution satellite images, aerial photograph and field investigation. The accuracy of geomorphology zone mapping used Object Base Classification technique indicates that the overall accuracy (OA) was 88,62%. while the pixel-based classification produces the low overall accuracy was 73%. This research suggest that the object-based technique could be a promise approach for mapping coral reef geomorphic zones, where the information obtained from this research was more accurate. In paper, we observed that the object-based technique shows higher accuracy in classification process than the pixel-based technique because pixel based can’t satisfy the high-resolution satellite data properties and it produced data redundancy.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Muhammad Lutfi Mahasinul Akhlaq
AU  - Gatot Winarso
PY  - 2020
DA  - 2020/05/04
TI  - Comparative Analysis of Object-Based and Pixel-Based Classification of High-Resolution Remote Sensing Images for Mapping Coral Reef Geomorphic Zones
BT  - Proceedings of the 1st Borobudur International Symposium on Humanities, Economics and Social Sciences (BIS-HESS 2019)
PB  - Atlantis Press
SP  - 992
EP  - 996
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200529.208
DO  - 10.2991/assehr.k.200529.208
ID  - Akhlaq2020
ER  -