Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data

Mesut Çoşlu; Namık Kemal Sönmez

doi:10.31015/2025.si.18

Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data

Abstract

In recent years, with advancements in both computer and sensor technologies, new digital image processing techniques are frequently used in the processing of remote sensing data. In this context, object-based image analysis stands out, especially in the analysis of high spatial resolution data. This study aims to evaluate the pixel-based and object-based classification performances of high-resolution unmanned aerial vehicle (UAV) and WorldView-4 (WV4) satellite data and to determine the effect of vegetation indices added as additional bands to high-resolution data on the object-based classification result. According to the findings of the study, the highest overall accuracy (75.40%) was determined for the six-band UAV data. In the object-based classification phase of the study, it was determined that the vegetation indices added as additional bands to WV4, and UAV data increased the quality of the object-based classification process by an average of 2.43%. The findings obtained from the research indicated that adding additional bands to UAV data increased the overall accuracy in object-based classification.

Keywords

LULC, Pixel-Based Classification, Object-Based Image Analysis, UAV, WV4

Thanks

This study is derived from the first author's master’s thesis.

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Details

Primary Language

English

Subjects

Agricultural Land Management, Agricultural Land Planning

Journal Section

Research Article

Authors

Mesut Çoşlu ^*
0000-0003-3952-6563
Türkiye

Namık Kemal Sönmez
0000-0001-6882-0599
Türkiye

Publication Date

December 28, 2025

Submission Date

November 14, 2025

Acceptance Date

December 20, 2025

Published in Issue

Year 2025 Volume: 9 Number: Special

DOI

https://doi.org/10.31015/2025.si.18

IZ

https://izlik.org/JA93PN28SN

APA

Çoşlu, M., & Sönmez, N. K. (2025). Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data. International Journal of Agriculture Environment and Food Sciences, 9(Special), 103-114. https://doi.org/10.31015/2025.si.18

AMA

1.Çoşlu M, Sönmez NK. Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data. int. j. agric. environ. food sci. 2025;9(Special):103-114. doi:10.31015/2025.si.18

Chicago

Çoşlu, Mesut, and Namık Kemal Sönmez. 2025. “Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data”. International Journal of Agriculture Environment and Food Sciences 9 (Special): 103-14. https://doi.org/10.31015/2025.si.18.

EndNote

Çoşlu M, Sönmez NK (December 1, 2025) Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data. International Journal of Agriculture Environment and Food Sciences 9 Special 103–114.

IEEE

[1]M. Çoşlu and N. K. Sönmez, “Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data”, int. j. agric. environ. food sci., vol. 9, no. Special, pp. 103–114, Dec. 2025, doi: 10.31015/2025.si.18.

ISNAD

Çoşlu, Mesut - Sönmez, Namık Kemal. “Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data”. International Journal of Agriculture Environment and Food Sciences 9/Special (December 1, 2025): 103-114. https://doi.org/10.31015/2025.si.18.

JAMA

1.Çoşlu M, Sönmez NK. Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data. int. j. agric. environ. food sci. 2025;9:103–114.

MLA

Çoşlu, Mesut, and Namık Kemal Sönmez. “Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data”. International Journal of Agriculture Environment and Food Sciences, vol. 9, no. Special, Dec. 2025, pp. 103-14, doi:10.31015/2025.si.18.

Vancouver

1.Mesut Çoşlu, Namık Kemal Sönmez. Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data. int. j. agric. environ. food sci. 2025 Dec. 1;9(Special):103-14. doi:10.31015/2025.si.18

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Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data

Comparison of Pixel-Based and Object-Based Classification Methods in Evaluating Different High-Resolution Remote Sensing Data

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