Context-Unsupervised Adversarial Network for Video Sensors

5326058hx Foreground object segmentation is a crucial first step for surveillance systems based on networks of video sensors.This problem in the context of dynamic scenes has been widely explored in the last two decades, but it still has open research questions due to challenges such as strong shadows, background clutter and illumination changes.Af

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Glacier monitoring using real-aperture 94 GHz radar

Close-range sensors are employed to observe glaciological processes that operate over miracle academy clothing short timescales (e.g.iceberg calving, glacial lake outburst floods, diurnal surface melting).However, under poor weather conditions optical instruments fail while the operation of radar systems below 17 GHz do not have sufficient angular

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