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mlsp2021-insect-lidar-supervised-classification

Code for detecting insects in lidar data. This repository contains the code used to create the results and figures in our paper Detection of Insects in Class-imbalanced Lidar Field Measurements, which was published in and presented at the 2021 IEEE Machine Learning for Signal Processing (MLSP) conference.

https://github.com/BMW-lab-MSU/mlsp2021-insect-lidar-supervised-classification

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 8 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.1%) to scientific vocabulary

Keywords

insect-detection
Last synced: 9 months ago · JSON representation ·

Repository

Code for detecting insects in lidar data. This repository contains the code used to create the results and figures in our paper Detection of Insects in Class-imbalanced Lidar Field Measurements, which was published in and presented at the 2021 IEEE Machine Learning for Signal Processing (MLSP) conference.

Basic Info
  • Host: GitHub
  • Owner: BMW-lab-MSU
  • License: bsd-3-clause
  • Language: MATLAB
  • Default Branch: main
  • Homepage:
  • Size: 57.1 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 3
Topics
insect-detection
Created over 5 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

DOI

Insect Lidar Supervised Classification

Code for detecting insects in lidar data.

This repository contains the code used to create the results and figures in our paper Detection of Insects in Class-imbalanced Lidar Field Measurements, which was published in and presented at the 2021 IEEE Machine Learning for Signal Processing (MLSP) conference.

The dataset used in this paper is archived at Zenodo DOI

How to run the experiments

Create training and testing data

  1. Combine the individual data and label files into a more usable format: combineScans.m
  2. Split the data into training and test sets: trainTestSplit.m

Train and test the classifiers

  1. Tune the under- and oversampling ratios: tuneSampling{AdaBoost, RUSBoost, Net}.m
  2. The the model hyperparameters: tuneHyperparams{AdaBoost, RUSBoost, Net}.m
  3. Train the final models: train{AdaBoost, RUSBoost, Net}.m
  4. Test the classifiers: testClassifiers.m

Results

The testing results are saved in <data directory>/testing/results.mat.

To analyze the cross validation results, collect them by running collectCrossValResults.m. The results will be in <data directory>/training/cvResults.m.

figures/resultsFigures.m creates the confusion matrix figures; it also creates tables for the cross validation and testing set performance metrics.

The feature ranking plot is created by figures/featureRankingFig.m

Owner

  • Name: BMW Lab @ MSU
  • Login: BMW-lab-MSU
  • Kind: organization
  • Location: Montana State University

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Vannoy"
  given-names: "Trevor C."
  orcid: "https://orcid.org/0000-0003-4034-9963"
- family-names: "Scofield"
  given-names: "Trey P."
- family-names: "Logan"
  given-names: "Riley D."
- family-names: "Rehbein"
  given-names: "Elizabeth M."
- family-names: "Shaw"
  given-names: "Joseph A."
  orcid: "https://orcid.org/0000-0003-1056-1269"
- family-names: "Whitaker"
  given-names: "Bradley M."
  orcid: "https://orcid.org/0000-0001-8884-9743"
title: "Insect Lidar Supervised Classification"
version: 1.0.0
license: BSD-3-Clause
date-released: 2021-09-13
doi: 10.5281/zenodo.5504409
repository-code: "https://github.com/BMW-lab-MSU/insect-lidar-supervised-classification"

GitHub Events

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  • Pull request event: 1
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  • Pull request event: 1

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Last synced: 9 months ago

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  • Total issues: 1
  • Total pull requests: 16
  • Average time to close issues: 14 days
  • Average time to close pull requests: 5 months
  • Total issue authors: 1
  • Total pull request authors: 5
  • Average comments per issue: 1.0
  • Average comments per pull request: 1.13
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
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  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
  • tvannoy (1)
Pull Request Authors
  • tvannoy (7)
  • hbmadsen (5)
  • R-Ficken (2)
  • bwhitaker8 (1)
  • rustky (1)
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