Jump to main content
US EPA
United States Environmental Protection Agency
Search
Search
Main menu
Environmental Topics
Laws & Regulations
About EPA
Health & Environmental Research Online (HERO)
Contact Us
Print
Feedback
Export to File
Search:
This record has one attached file:
Add More Files
Attach File(s):
Display Name for File*:
Save
Citation
Tags
HERO ID
6332110
Reference Type
Journal Article
Title
Deep learning-based retrieval of cyanobacteria pigment in inland water for in-situ and airborne hyperspectral data
Author(s)
Yim, I; Shin, J; Lee, H; Park, S; Nam, G; Kang, T; Cho, KHwa; Cha, Y
Year
2020
Is Peer Reviewed?
Yes
Journal
Ecological Indicators
ISSN:
1470-160X
EISSN:
1872-7034
Publisher
Elsevier
Volume
110
Issue
Elsevier
Page Numbers
105879
DOI
10.1016/j.ecolind.2019.105879
Web of Science Id
WOS:000507381800042
URL
https://linkinghub.elsevier.com/retrieve/pii/S1470160X1930874X
Exit
Keywords
Cyanobacteria; Phycocyanin; Hyperspectral imaging; Deep learning; Deep neural networks; Stacked autoencoder
Home
Learn about HERO
Using HERO
Search HERO
Projects in HERO
Risk Assessment
Transparency & Integrity