Sentence examples for imagery results from inspiring English sources

Experts in semiotic decoding may have a field day, but for the visually oriented, the disconnection between such complicated subject matter and oblique and underwhelming aspects of form and imagery results in a puzzling and enervating experience.

Dr. Untersteiner of the University of Washington said that in June the government posted some imagery results from that assessment on the Web sites of the United States Geological Survey in an area known as the Global Fiducials Library, which advertises itself as an archive of intelligence images from scientifically important sites.

The promising imagery results show the great potentials and capabilities of bistatic SAR as an innovative imaging system [1 6].

Considering the literature, the key problem in Section 2 where the fusion of thermal and visible imagery results particularly effective is that of the shadows: actually, all the approaches stress this fact in their experimental sections.

Overall we have clearly identified a significant difference between the laboratory condition stereo imagery results obtained on the statistical evaluation of the de facto Middlebury stereo test imagery [6], the virtual world automotive stereo imagery [7] and that achieved under real world automotive stereo conditions.

Technology combined with the right imagery results in action.

His fascination with erotic imagery resulted in on-stage bondage routines · When his musical career stalled he focused on acting, appearing in films and TV shows such as The Equaliser and Northern Exposure.

The use of all available metrics from satellite imagery resulted in models with equivalent precision to those created using individual band values (mean RMSE = 3.64 m).

Similar to Tallahassee, using aerial imagery alone produced the lowest user's accuracy of the woody vegetation class (67%) while scenarios including LiDAR plus visible imagery resulted in over 80% of user's accuracy of woody vegetation class.

In this study, the impact of the uncertainty associated with the classification of land cover based on multi-temporal SPOT imagery, resulting from the use of the Random Forests classifier, on the predictions of the hydrologic model TOPLATS is investigated through a Monte Carlo simulation.

The remnant low began interacting with the neighboring trough as noted on water vapor imagery, resulting in significant amounts of precipitation along the southeastern United States coastlines.