Bahadır ERGÜN, M. Orhan ALTAN

Yakın resim fotogrametrisinde endüstriyel uzman sistem uygulaması

Günümüzde, mikrofotogrametri elektronik sanayisinden sağlık hizmetlerine ve özellikle uzay sanayisine kadar pek çok bilimle ortak olarak çalışmaktadır. Bu çalışmalara destek sağlayan ve çalışmalarda kullanılan uzman sistemler laboratuar çalışmalarında önemli bir yer tutmaktadır. Dijital olarak 0.5 cm ve daha küçük objelerin modellenmesi, ölçülmesi ve kalite kontrolünün sağlanması amacına yönelik olan bu sistem aynı zamanda uydu ve uzay çalışmalarında kullanılan dijital sensörlerin testi, kalibrasyonu ve modern görüntüleme ve ölçme çalışmalarında da kullanılabilmekte ve bu sayede üniversitemizde yapılacak birçok lisans, yüksek lisans ve doktora çalışmasında temel sistem olacaktır. Ayrıca ekonomik yönden, yüksek hassasiyette yapılması gereken çalışmalar için üniversitemize destek sağlayacaktır.

An application for industrial close range photogrammetric expert system

Nowadays, microphotogrammetric works have been dealing with the other science like electronic, medicine especially space technology researchers. Expert Systems, which have been used for this works, have been improved and become important day by day. Therefore an expert system would have been built and used for researching the new technologies and measuring the very small objects for quality control and 3D modeling with aided computer vision technologies also using new calibration researching for the sensor technologies, etc. Firstly, built an expert system and calibrate this system is the aim of this Ph.D. Thesis. After that this expert system will have been used for diploma thesis, Master Degree Thesis and also Ph.D. Thesis in the future. The modern universities, which deal with this tecnologies of speace reasearching, have an expert system like this for imaging, measuring and researching the sensor technologies. Multisensory remote sensing requires the simultaneous registration and real-time processing of the time-varying multi-sensor image data. The frame-based programming technique was developed to provide the appropriate multi-sensor data management. Any frame-based processing system supports the automatic data updating since the output of any sensor has been changed. The visual programming of data flows is naturally available through the usage of this approach.

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