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Fast LiDAR imaging of sparse targets with compressive Hadamard samples

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Abstract

An efficient adaptive sensing technique for LiDAR imaging of sparse targets with a Hadamard sensing matrix is introduced. A fast, real-time reconstruction is performed by a convolutional neural network.

© 2020 The Author(s)

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