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Vol. 13 No. 4 (2026)
International Multidisciplinary Journal for Research & Development

Articles

ANALYSIS AND EVALUATION OF AEROSPACE IMAGERY USING OBJECT-BASED IMAGE ANALYSIS (OBIA)

Published 2026-04-28

  • Yaxshimurod Erkinboy o‘g‘li Hakimov, Gayrat Zaidovich Yakubov, Nuriddin To‘lkun o‘g‘li Mirjalalov

Yaxshimurod Erkinboy o‘g‘li Hakimov, Gayrat Zaidovich Yakubov, Nuriddin To‘lkun o‘g‘li Mirjalalov
National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan

Abstract

This study develops and applies a methodology for classifying agricultural lands in the Urgench district of the Khorezm region using Object-Based Image Analysis (OBIA). During the research, image segmentation was performed based on multispectral satellite imagery, and the resulting objects were analyzed according to their spectral and geometric characteristics. The classification process employed the NDVI (Normalized Difference Vegetation Index) along with additional rule-based approaches. As a result, the study area was classified into four main categories: vegetation areas, bare lands, urban territories, and hydrographic features. The accuracy of the classification results was evaluated using a confusion matrix, revealing an overall accuracy of more than 87%. The findings demonstrate the high efficiency of the OBIA method for identifying and monitoring agricultural lands and highlight its significant role in analyzing irrigated agro-landscapes based on remote sensing data.

Keywords

Sentinel-2, OBIA, GEOBIA, NDVI, eCognition, agriculture, segmentation, Khorezm, accuracy assessment

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