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followers: 14.0 following: 27.0 repos: 98.0 gists: 0.0

Name: Song Xiangyu

Type: User

Company: University of Chinese Academy of Sciences;China RailwayDesign Corporation

Bio: Xiangyu Song received the PhD degree from University of Chinese Academy of Sciences, China, in 2022. Currently, He works in China Railway Design Corporation.

Location: Tianjin

  • 👋 Hi, I am Xiangyu Song
  • 👀 I am interested in hyperspectral remote sensing, airborne remote sensing, machine learning, and its applications in engineering.
  • 🌱 I am presently engaged in the study of hyperspectral classification and its various applications.
  • 💞️ I am actively seeking opportunities for collaboration in the domain of artificial intelligence's engineering applications.
  • 🎑 I am currently employed at the National Engineering Research Center for Digital Construction and Evaluation of Urban Rail Transit, China Railway Design Corporation.
  • 📫 You can reach me at [email protected]; [email protected]; [email protected]

Song Xiangyu's Projects

bloop icon bloop

bloop is a fast code search engine written in Rust.

capsnet-tensorflow icon capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

ceif icon ceif

Categorized extended isolation forest tool

clustering icon clustering

Clustering / Subspace Clustering Algorithms on MATLAB

conv-caps-hsi-classification icon conv-caps-hsi-classification

Code for the paper "Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification"

darts icon darts

Differentiable architecture search for convolutional and recurrent networks

deeplearn_hsi icon deeplearn_hsi

Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR

eif icon eif

Extended Isolation Forest for Anomaly Detection

fg-suulda icon fg-suulda

The code of the paper "Flexible Gabor-based Superpixel-level Unsupervised LDA for Hyperspectral Image Classification".

geocompy icon geocompy

Geocomputation with Python: an open source book and online resource for getting started in this space

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