Fish Lidar Supervised Classification v1.0.3

This repository contains all of the code used to create the results and figures for the article

• 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 https://doi.org/10.1117/1.JRS.15.038503

The required datasets are archived in Zenodo and can be found at DOI 10.5281/zenodo.5164408 https://zenodo.org/record/5164408 or 10.5281/zenodo.5164408.

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Changelog

• bug fix: the example image in the Discussion section of the paper was incorrect; this has been fixed.

Full Changelog: v1.0.2...v1.0.3

Fish Lidar Supervised Classification

This repository contains all of the code used to create the results and figures for the article

• 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 https://doi.org/10.1117/1.JRS.15.038503

The required datasets are archived in Zenodo and can be found at DOI 10.5281/zenodo.5164408 https://zenodo.org/record/5164408.

Fish Lidar Supervised Classification

This repository contains all of 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 has been accepted for publication in the SPIE Journal of Applied Remote Sensing.