Gas Distribution Mapping Based on Compressed Sensing

Abstract

We propose a tomography method to reconstruct gas distribution based on compressed sensing in Fourier domain for a laser scanning gas sensor, e.g. methane gas. 3D reconstructed results measured by an onboard 2-axis laser scanning gas sensor on a movable robot were successfully obtained with fewer artifacts, and denote that the number of laser scanning and robot movement can be reduced with keeping the same gas distribution mapping accuracy.