Geometric accuracy analysis of Jilin-1 satellite images using different mathematical models


TOPAN H., Oruc M., Bayirhan I., Buyuksalih G., Gazioglu C., Bilgin B., ...Daha Fazla

EUROPEAN JOURNAL OF REMOTE SENSING, cilt.59, sa.1, 2026 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 59 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1080/22797254.2026.2691804
  • Dergi Adı: EUROPEAN JOURNAL OF REMOTE SENSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, Environment Index, Geobase, INSPEC, Directory of Open Access Journals
  • İstanbul Üniversitesi Adresli: Evet

Özet

Chinese high-resolution Earth observation satellites have developed rapidly over the last two decades and have made continuous progress in terms of their mapping capabilities. In this study, we analyzed the geometric accuracy potential of Jilin-1 satellite imagery covering the area around the Marmara Sea of T & uuml;rkiye. The Jilin-1 image was received as four quadrants, comprising 19 multispectral bands. We used different mathematical models in the accuracy assessment phase, including polynomial transformation, 2D- and 3D-affine projections, projective, DLT, and RFM methods. The reference datasets consisted of the points collected over Jilin-1 images, and their object coordinates were measured on the HGM-K & uuml;re. Then, these image and ground coordinates points were input into the GeoEtrim program, in which various transformation models can be implemented. The findings demonstrate that the highest accuracy values were obtained with the RFM using the panchromatic B0 band with 5 m GSD, reaching the sub-pixel accuracy level in both the row and column directions after applying second-order terms. A similar tendency was observed with the B7 and B15 bands with 10 and 20 m GSD, respectively. Above all, it was shown that it is possible to achieve higher accuracy with Jilin-1 imagery, and this level of accuracy meets the requirements needed for topographic mapping applications.