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Wenxin Tian

Researcher at Chinese Academy of Sciences

Publications -  6
Citations -  57

Wenxin Tian is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Lidar & Hyperspectral imaging. The author has an hindex of 3, co-authored 4 publications receiving 28 citations.

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A Mixed Deep Recurrent Neural Network for MEMS Gyroscope Noise Suppressing

TL;DR: A deep long short term memory recurrent neural network and a deep gated recurrent unit–recurrent neural network were combined together to construct a two-layer recurrent neuralnetwork for noise modeling of a micromechanics system gyroscope, and results supported a positive conclusion on the performance of designed method.
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A practical method utilizing multi-spectral LiDAR to aid points cloud matching in SLAM

TL;DR: A Hyperspectral LiDAR (HSL)-based-intensity calibration-free method to aid point cloud matching in SLAM that enhanced the heading angle estimation by 72%, and showed an average 25.5% improvement in a featureless spatial testing environment.
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Analyzing the Angle Effect of Leaf Reflectance Measured by Indoor Hyperspectral Light Detection and Ranging (LiDAR)

TL;DR: The angle effect of leaf reflectance from indoor HSL measurements of individual leaves from four typical tree species in Beijing is studied and an empirical model is established to correct the influence of angle effect on the reflectance of the leaf for HSL applications.
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Preliminary verification of hyperspectral LiDAR covering VIS-NIR-SWIR used for objects classification

TL;DR: In this article , an eight-channel HSL prototype covering visible to near-infrared and even short-wavelength infrared (VIS-NIR-SWIR, 450-1460 nm) based on a Super-continuum (SC) laser was proposed and tested.
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A practical method for employing multi-spectral LiDAR intensities in points cloud classification

TL;DR: In this article, LiDAR intensity is associated with the target surface material, which could help the points cloud classification, however, the intensity is also associated with light detection and ranging (LiDAR) intensity.