Accuracy assessment of photo maps producing from satellite images

مقدم أطروحة جامعية

Abd Ali, Nawal Muhsin

مشرف أطروحة جامعية

Khalaf, Abbas Zaydan

الجامعة

الجامعة التكنولوجية

الكلية

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القسم الأكاديمي

قسم هندسة البناء و الإنشاءات

دولة الجامعة

العراق

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2013

الملخص الإنجليزي

The application and mapping potential of very high resolution data is now encourage researchers to use them in several projects of different purposes.

Engineers in geomatics are now using high technologies which are based on satellite systems.

Global positioning system (GPS), geographic information system(GIS) and remote sensing technologies offer great advantages for surveyors and for mapping.

Significant developments in the field of remote sensing, especially in terms of spatial and spectral resolutions have widened the application fields of remote sensing and GIS during the last decade.

Hence, the use of remote sensing HRSI, especially from IKONOS, Quick bird to utilize the multi-resolution and multi-spectral data offered by various remotely sensed satellites will be extremely feasible in the land consolidation projects especially in mapping.

The data provided by various satellites will have met the requirements of decision makers at various scales from regional to micro level.

The processing of consists of geometric and radiometric characteristics analysis.

It is possible to correct image distortion and improve the image quality and readability.

It performed with mathematical models to rectify the high resolution satellite image such as QUIKBIRD.

One of the main goals of this research is to find an appropriate mathematical model with precise and accurate results.

Three models are generally used for geometric correction: first order polynomial model (affine), second order polynomial model and direct linear transformation model (DLT).

In this research a comparison study of QuickBird geopositioning accuracy improvement in which different adjustment models, as well as different number and configuration of ground control points, are presented standard high resolution satellite image (HRSI) of Baghdad city 14.5x14.5 km with different mathematical models for geometric corrections over a QUIK BIRD image.

Polynomials and DLT models are used for this test area with different ground control points distribution.

These models are generally available within most of remote sensing image processing systems.

Results indicate that a simple adjustment model (e.g., Affine or first order model) is effective on the potential use of high resolution satellite images for making digital ortho photos at a scale of 1:5000 (The accuracy of (1.016) m was being achieved with this model).

Furthermore the number of GCP’s did not decrease the accuracy significantly, a well spread distribution of even a few GCP’s is more beneficial to accuracy improvement than a dense but poorly spread distribution.

التخصصات الرئيسية

الهندسة المدنية

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-418239