Quality assessment of image inner geometry for linear array and pushframe sensors
Çizgi ve çerçeve tarayıcı uydu algılayıcılarının görüntü iç geometrisinin kalite değerlendirmesi
- Tez No: 952064
- Danışmanlar: PROF. DR. SULTAN KOCAMAN GÖKÇEOĞLU
- Tez Türü: Yüksek Lisans
- Konular: Mühendislik Bilimleri, Jeodezi ve Fotogrametri, Havacılık ve Uzay Mühendisliği, Engineering Sciences, Geodesy and Photogrammetry, Aeronautical Engineering
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2025
- Dil: İngilizce
- Üniversite: Hacettepe Üniversitesi
- Enstitü: Fen Bilimleri Enstitüsü
- Ana Bilim Dalı: Geomatik Mühendisliği Ana Bilim Dalı
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
The aim of this thesis was to evaluate the impact of focal plane geometric designs of satellite optical Earth observation sensors on the geometric accuracy of the final output, namely orthorectified images. For this purpose, data acquired from both linear array and pushframe sensors were analyzed. Imagery from the Pleiades satellite was used to represent the line scanner design, while images from the SkySat satellite were used to represent the frame sensor design. As a reference, a very high-resolution orthophoto mosaic and Digital Surface Model (DSM), produced from Unmanned Aerial Vehicle (UAV) platforms over the Ankara Geometric Test Site, which was established within the Earthnet Data Assessment Pilot (EDAP) Project led by the European Space Agency (ESA), were used. Geometrically raw data delivered with Rational Polynomial Coefficients (RPC) were orthorectified using the UAV-derived DSM with very high resolution. Geometric comparisons between the satellite and reference orthophotos were conducted using the KARIOS image matching tool, also provided by ESA. Prior to validation, a series of preprocessing steps were applied, including histogram analysis for image noise assessment, histogram matching of band images cropped according to the reference data, and conversion to 8-bit radiometric resolution. The radiometric resolution of the UAV orthophoto was also down sampled to match that of the satellite images. The results were evaluated using standard deviation, Root Mean Square Error (RMSE), and Circular Error at 90% confidence level (CE90). Findings indicate that although there is no significant difference in the spatial resolution between SkySat and Pleiades imagery, the SkySat images exhibited higher geometric accuracy. These results suggest that, despite the differing advantages and limitations of these two satellite camera designs, the pushframe sensor offers superior geometric performance.
Özet (Çeviri)
The aim of this thesis was to evaluate the impact of focal plane geometric designs of satellite optical Earth observation sensors on the geometric accuracy of the final output, namely orthorectified images. For this purpose, data acquired from both linear array and pushframe sensors were analyzed. Imagery from the Pleiades satellite was used to represent the line scanner design, while images from the SkySat satellite were used to represent the frame sensor design. As a reference, a very high-resolution orthophoto mosaic and Digital Surface Model (DSM), produced from Unmanned Aerial Vehicle (UAV) platforms over the Ankara Geometric Test Site, which was established within the Earthnet Data Assessment Pilot (EDAP) Project led by the European Space Agency (ESA), were used. Geometrically raw data delivered with Rational Polynomial Coefficients (RPC) were orthorectified using the UAV-derived DSM with very high resolution. Geometric comparisons between the satellite and reference orthophotos were conducted using the KARIOS image matching tool, also provided by ESA. Prior to validation, a series of preprocessing steps were applied, including histogram analysis for image noise assessment, histogram matching of band images cropped according to the reference data, and conversion to 8-bit radiometric resolution. The radiometric resolution of the UAV orthophoto was also down sampled to match that of the satellite images. The results were evaluated using standard deviation, Root Mean Square Error (RMSE), and Circular Error at 90% confidence level (CE90). Findings indicate that although there is no significant difference in the spatial resolution between SkySat and Pleiades imagery, the SkySat images exhibited higher geometric accuracy. These results suggest that, despite the differing advantages and limitations of these two satellite camera designs, the pushframe sensor offers superior geometric performance.
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