In order to reduce the risk, shorten the development period and lower the cost of space missions, government scientists and engineers at the Canadian Space Agency (CSA) have pioneered data 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 modern signal processing approaches. Near 20 papers on this subject have been published. It has been demonstrated that it is feasible and more cost-effective to enhance satellite sensor performance using signal processing approaches. In this 40-minute talk, 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 acquired low performance satellite data after enhancement using the technologies can better serve the remote sensing applications and military operations in target detection.

Location:
Montreal, Quebec