fish-lidar-supervised-classification

This repository contains the code used to create the results and figures in our Machine learning based region of interest detection in airborne lidar fisheries surveys paper, which was published in the SPIE Journal of Applied Remote Sensing.

https://github.com/bmw-lab-msu/fish-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 5 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 (3.9%) to scientific vocabulary

Keywords

fish-detection machine-learning
Last synced: 9 months ago · JSON representation ·

Repository

This repository contains the code used to create the results and figures in our Machine learning based region of interest detection in airborne lidar fisheries surveys paper, which was published in the SPIE Journal of Applied Remote Sensing.

Basic Info
  • Host: GitHub
  • Owner: BMW-lab-MSU
  • License: bsd-3-clause
  • Language: MATLAB
  • Default Branch: main
  • Homepage:
  • Size: 28.8 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 3
Topics
fish-detection machine-learning
Created over 5 years ago · Last pushed over 3 years ago
Metadata Files
Readme License Citation

README.md

DOI

Machine learning based region of interest detection in airborne lidar fisheries surveys

This repository contains the code used to create the results and figures in our Machine learning based region of interest detection in airborne lidar fisheries surveys paper, which was published in the SPIE Journal of Applied Remote Sensing.

For details on how to reproduce results, see the Yellowstone and Gulf of Mexico READMEs.

The datasets are archived at https://zenodo.org/record/5164408.

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: "Belford"
  given-names: "Jackson"
- family-names: "Aist"
  given-names: "Joseph N."
- family-names: "Rust"
  given-names: "Kyle R."
- family-names: "Roddewig"
  given-names: "Michael R."
  orcid: " https://orcid.org/0000-0003-0120-3400 "
- family-names: "Churnside"
  given-names: "James H."
  orcid: "https://orcid.org/0000-0003-1586-2300"
- 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: "Fish Lidar Supervised Classification"
version: 1.0.2
doi: 10.5281/zenodo.5164899
date-released: 2021-08-05
url: "https://github.com/BMW-lab-MSU/fish-lidar-supervised-classification"

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