Real-time conversion tracking is the holy grail of TV advertisers. We show how to use thousands of tiny areas available via commercial cable and satellite systems to create low cost tracking cells. These areas are created as “mirrors” of a national campaign, and run in parallel with it. With properly controlled areas, it is possible to calculate national effects due to TV using statistical meth...

a r t i c l e i n f o Recent advances in satellite tagging technologies have provided scientists growing opportunities to resolve previously unknown spatial ecology of marine predators, including sharks. Such an understanding is particularly important at this time given recent declines in shark populations worldwide. Here we reviewed 48 studies published in the primary literature between 1984 a...

In this paper, we present a new method for automatic road tracking and extraction from satellite images. Our method is a kind of global and parallel method. It includes the following three parts: I ) an edge detector is applied and the satellite image is transfered into binary edge map (EM). 2) we propose a special kind of energy function with marginal effect to represent each edge chain in the...

A new satellite-based rainfall monitoring algorithm that integrates the strengths of both low Earth-orbiting (LEO) and geostationary Earth-orbiting (GEO) satellite information has been developed. The Lagrangian Model (LMODEL) algorithm combines a 2D cloud-advection tracking system and a GEO data–driven cloud development and rainfall generation model with procedures to update model parameters an...

Multipath is one of the most dominant sources of errors in Global Navigation Satellite Systems (GNSS). In this paper we present two tracking structures with multiple gate delays and compare their performance with the performance of Narrow Correlator and High Resolution Correlator. The performance criteria are based on the Multipath Error Envelopes (MEEs), the Root Mean Square Errors (RMSEs) and...

Tracking and predicting the fine scale sea ice motion will be particularly critical to safe Navy operations in the Arctic Ocean. It is also very important to monitor and track the size, shape, and location of sea ice in near real-time (within several hours of data acquisition), and predict the motion of sea ice for ice hazard forecasts in a finer scale than is currently possible. The log-term g...

With the development of satellite and remote sensing techniques, more and more image data from airborne/satellite sensors have become available. Multi-sensor image fusion seeks to combine information from different images to obtain more inferences than can be derived from a single sensor. In image-based application fields, image fusion has emerged as a promising research area since the end of t...

In this paper we concentrate on MPSK carrier frequency estmation based on random data modulation. We present a fast, open-loop frequency estimation and tracking techinque, which combines a feedforward estimator stucture and a recursive least square (RLS) predictor. It is suitable for the frequency estimation and large frequency acquisition and tracking required of burst mode satellite modems op...

Near real-time data downlinks from aircrafts, satellites and high altitude platforms via high-speed laser communication links is an important research topic at the Institute of Communications and Navigation of the German Aerospace Center (DLR). Ground stations for such scenarios are usually fixed at a certain location. With a motivation to provide a ground station that is quickly and easily dep...