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Target recognition from SAR data using range profiles and a long short-term memory (LSTM) network
Target recognition from SAR data using range profiles and a long short-term memory (LSTM) network
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机译:利用距离像和长短时记忆(LSTM)网络从SAR数据中识别目标
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摘要
A method of identifying a target from synthetic aperture radar (SAR) data without incurring the computational load associated with generating an SAR image. The method includes receiving SAR data collected by a radar system including RF phase history data associated with reflected RF pulses from a target in a scene, but excluding an SAR image. Range profile data is determined from the SAR data by converting the RF phase history data into a structured temporal array that can be applied as input to a classifier incorporating a recurrent neural network, such as a recurrent neural network made up of long short-term memory (LSTM) cells that are configured to recognize temporal or spatial characteristics associated with a target, and provide an identification of a target based on the recognized temporal or spatial characteristic.
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