Optimal Band Selection for Airborne Hyperspectral Imagery to Retrieve a Wide Range of Cyanobacterial Pigment Concentration Using a Data-Driven Approach

Optimal Band Selection for Airborne Hyperspectral Imagery to Retrieve a Wide Range of Cyanobacterial Pigment Concentration Using a Data-Driven Approach

Understanding the concentration and distribution of cyanobacteria blooms is an important aspect of managing water quality problems and protecting aquatic ecosystems. Airborne hyperspectral imagery (HSI)—which has high temporal, spatial, and spectral resolutions—is widely used to remotely sense cyano...

Full description

Bibliographic Details
Main Authors: Wonjin Jang, Yongeun Park, JongCheol Pyo, Sanghyun Park, Jinuk Kim, Jin Hwi Kim, Kyung Hwa Cho, Jae-Ki Shin, Seongjoon Kim
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
phycocyanin
chlorophyll-a
hyperspectral image
data-driven model
band selection
Online Access:https://www.mdpi.com/2072-4292/14/7/1754

Internet

https://www.mdpi.com/2072-4292/14/7/1754

Similar Items