Enhancing Optical Satellite Sensor Performance Using Signal Processing Approaches - Video

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Enhancing Optical Satellite Sensor Performance Using Signal Processing Approaches - Video


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Enhancing Optical Satellite Sensor Performance Using Signal Processing Approaches - Video

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In order to reduce the risk, shorten the development period and lower the cost of space missions, scientists and engineers at the Canadian Space Agency (CSA) have pioneered signal post-processing technology to enhance satellite sensor performance. Building satellites with considerably high performance is a challenge, as this could be prohibitively expensive or constrained by available technologies. Dr. Qian and his team at CSA have invented a series of cutting-edge technologies to enhance satellite sensors? performance by improving key satellite parameters, such as signal-to-noise ratio (SNR) and spatial resolution using innovative signal processing technologies. Four patents have been granted in USA and Europe and near 20 papers on this subject have been published. They have demonstrated that it is feasible and cost-effective to enhance satellite sensor performance using signal processing approaches. In this lecture, Dr. Qian will briefly introduce a number of innovative signal processing based technologies developed at CSA for improving satellite sensors? SNR and for increasing spatial resolution by exploiting the sensor?s intrinsic characteristics. He will also show the experimental results of the technologies in the evaluation and validation process, and demonstrate how the satellite data acquired by low performance satellites can better serve the remote sensing applications and military target detection after the enhancement using the technologies.
In order to reduce the risk, shorten the development period and lower the cost of space missions, scientists and engineers at the Canadian Space Agency (CSA) have pioneered signal post-processing technology to enhance satellite sensor performance. Building satellites with considerably high performance is a challenge, as this could be prohibitively expensive or constrained by available technologies. Dr. Qian and his team at CSA have invented a series of cutting-edge technologies to enhance satellite sensors? performance by improving key satellite parameters, such as signal-to-noise ratio (SNR) and spatial resolution using innovative signal processing technologies. Four patents have been granted in USA and Europe and near 20 papers on this subject have been published. They have demonstrated that it is feasible and cost-effective to enhance satellite sensor performance using signal processing approaches. In this lecture, Dr. Qian will briefly introduce a number of innovative signal processing based technologies developed at CSA for improving satellite sensors? SNR and for increasing spatial resolution by exploiting the sensor?s intrinsic characteristics. He will also show the experimental results of the technologies in the evaluation and validation process, and demonstrate how the satellite data acquired by low performance satellites can better serve the remote sensing applications and military target detection after the enhancement using the technologies.