Published August 5, 2021
| Version v1
Dataset
Open
Datasets for Fish Lidar Supervised Classification
Creators
- 1. Montana State University
- 2. National Oceanic and Atmospheric Administration
Description
This repository contains all of the data used to develop the algorithms for our "Machine learning based region of interest detection in airborne lidar fisheries surveys" paper, which has been published in the SPIE Journal of Applied Remote Sensing. The software that processes the data can be found at DOI 10.5281/zenodo.5021330.
Please cite our journal article if you use the data for research purposes: T. C. Vannoy et al., "Machine learning based region of interest detection in airborne lidar fisheries surveys," SPIE Journal of Applied Remote Sensing 15(3), 038503 (2021). DOI 10.1117/1.JRS.15.038503.
Files
GulfOfMexico.zip
Files
(9.1 GB)
Name | Size | Download all |
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md5:1a504b717efa66047f4ac031aaf229e8
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5.9 GB | Preview Download |
md5:2cfdb97485007d4063bc6b27b99bed3e
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3.2 GB | Preview Download |
Additional details
Related works
- Is cited by
- Journal article: 10.1117/1.JRS.15.038503 (DOI)
- Is required by
- Software: 10.5281/zenodo.5021330 (DOI)