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)

PDF Article
More Like This
3D Compressive LIDAR Imaging Using Multiscale-Ordered Hadamard Basis

Vladislav Kravets and Adrian Stern
3W2G.3 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2018

Adaptive Compressive Sensing with Multiscale Hadamard Patterns

Vladislav Kravets and Adrian Stern
JW2A.21 Computational Optical Sensing and Imaging (COSI) 2019

Photonic Compressive Sampling of Sparse Broadband RF Signals using a Multimode Fiber

Kaiqiang Ding, Ziyi Meng, Zhenming Yu, Zhenyu Ju, Zhengxiang Zhao, and Kun Xu
M4A.327 Asia Communications and Photonics Conference (ACPC) 2020

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription