Reliable and accurate geolocation is essential for robust detection, discrimination and remediation of unexploded ordnance (UXO) and other munitions and explosives-of-concern (MEC). The MEC characterization and remediation activities using the currently available detection and geolocation technologies often yield unsatisfactory results, and are extremely expensive, due mainly to the inability o...

The ability to geolocate ENVISAT ASAR image products and transform them into a map projection is a critical step required to enable not only overlays with other sources of information (e.g. DEM, GIS layers), but even with other ASAR products, especially those acquired with a different track, beam, or incidence angle. This paper summarises geolocation validation results evaluating both the relat...

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...

Geolocation prediction is vital to geospatial applications like localised search and local event detection. Predominately, social media geolocation models are based on full text data, including common words with no geospatial dimension (e.g. today) and noisy strings (tmrw), potentially hampering prediction and leading to slower/more memory-intensive models. In this paper, we focus on finding lo...

Using miniature air vehicles (MAVs) is a cost effective, simple method for collecting data about the size, shape, and location characteristics of a forest fire. However, noise in measurements used to compute pose (location and attitude) of the camera on board the MAV leads to significant errors in the processing of collected video data. Typical methods using MAVs to track fires attempt to find ...

Mapping IP addresses to physical locations is important for a host of cyber security applications. Examples include identifying the origin of cyber attacks, protecting against fraud in internet commerce, screening emails for phishing, and enforcing restrictions on commerce with sanctioned countries. Simultaneous geolocation of large numbers of IP hosts is needed for cyber situation awareness. E...

Geolocation of Internet hosts relies mainly on exhaustive tabulation techniques. Those techniques consist in building a database, that keeps the mapping between IP blocks and a geographic location. Relying on a single location for a whole IP block requires using a coarse enough geographic resolution. As this geographic resolution is not made explicit in databases, we try in this paper to better...

It is a basic challenge in the design of location-based services to balance the needs of applications for information about users against the needs of users to maintain control of their private information. The standard APIs that have been developed in this area have endeavored to provide tools to help users and applications manage this balance – indeed, the name of the IETF group that works on...

We present pigeo, a Python geolocation prediction tool that predicts a location for a given text input or Twitter user. We discuss the design, implementation and application of pigeo, and empirically evaluate it. pigeo is able to geolocate informal text and is a very useful tool for users who require a free and easy-to-use, yet accurate geolocation service based on pre-trained models. Additiona...