English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

A Trillion Coral Reef Colors: Deeply Annotated Underwater Hyperspectral Images for Automated Classification and Habitat Mapping

MPS-Authors
/persons/resource/persons257038

Rashid,  Ahmad Rafiuddin
Permanent Research Group Microsensor, Max Planck Institute for Marine Microbiology, Max Planck Society;

/persons/resource/persons210317

Chennu,  Arjun
Permanent Research Group Microsensor, Max Planck Institute for Marine Microbiology, Max Planck Society;

External Ressource
No external resources are shared
Fulltext (public)

Rashid20.pdf
(Publisher version), 6MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Rashid, A. R., & Chennu, A. (2020). A Trillion Coral Reef Colors: Deeply Annotated Underwater Hyperspectral Images for Automated Classification and Habitat Mapping. DATA, 5(1): 19. doi:10.3390/data5010019.


Cite as: http://hdl.handle.net/21.11116/0000-0006-B709-2
Abstract
This paper describes a large dataset of underwater hyperspectral imagery that can be used by researchers in the domains of computer vision, machine learning, remote sensing, and coral reef ecology. We present the details of underwater data acquisition, processing and curation to create this large dataset of coral reef imagery annotated for habitat mapping. A diver-operated hyperspectral imaging system (HyperDiver) was used to survey 147 transects at 8 coral reef sites around the Caribbean island of Curacao. The underwater proximal sensing approach produced fine-scale images of the seafloor, with more than 2.2 billion points of detailed optical spectra. Of these, more than 10 million data points have been annotated for habitat descriptors or taxonomic identity with a total of 47 class labels up to genus- and species-levels. In addition to HyperDiver survey data, we also include images and annotations from traditional (color photo) quadrat surveys conducted along 23 of the 147 transects, which enables comparative reef description between two types of reef survey methods. This dataset promises benefits for efforts in classification algorithms, hyperspectral image segmentation and automated habitat mapping. Dataset: https://doi.org/10.1594/PANGAEA.911300 Dataset License: CC-BY-NC