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The primary objective of the research presented here is to develop high-accuracy and high-reliability geolocation algorithms and to prototype a hybrid system based on multisensor integration to improve geolocation of geophysical sensors at munitions and explosives of concern (MEC) sites. The current methods used at MEC sites for buried unexploded ordnance (UXO) detection are extremely expensive...

ادغام داده‌ها بین حسگرهای مختلف می‌تواند موجب استخراج اطلاعات با دقت و کیفیت بالاتر گردد بهبود تشخیص تهدیدهای هسته‌ای را به همراه داشته باشد. در این تحقیق، ردیابی چشمه متحرک استفاده از تلفیق داده­های سیستم آشکارساز پرتوی دوربین نظارتی مورد مطالعه قرار گرفت است. بدین منظور الگوریتمی جهت ایجاد همبستگی تصاویر دریافتی توسط شمارش طراحی شده است تا مسیر حرکت جسمی که بیش­ترین ثبت آشکارسازی دارد عنوان ا...

PARADIS stands for a Prototype for Assisting Rational Activities in Demining using Images from Satellites. The aim of this project is to improve the planning of humanitarian demining campaigns using Remote Sensing data and GIS techniques. In this context, a user interface has been developed in ArcView GIS to integrate the tools needed for the management of the campaigns. The interface is built ...

Emerging applications in Defense and Security require sensors with state-of-the-art sensitivity and capabilities. Among these sensors, the imaging spectrometer is an instrument yielding a large amount of rich information about the measured scene. This powerful spectrometric tool is becoming more common in civil applications such as search and rescue, geological surveys, pollution monitoring, fo...

Virginia Tech is currently developing a new autonomous vehicle as a research platform. This vehicle is being used to investigate techniques in autonomous landmine/UXO detection. In addition, it was entered in the 2000 Intelligent Ground Vehicle Competition. This vehicle senses its surroundings using two (non-stereo) color CCD cameras, a SICK laser range finder, and wheel encoders. The cameras g...