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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 9, Iss. 4 — Apr. 1, 2014

Development and evaluation of a genetic algorithm-based ocean color inversion model for simultaneously retrieving optical properties and bottom types in coral reef regions

Chih-Hua Chang, Cheng-Chien Liu, Hsiao-Wei Chung, Long-Jeng Lee, and Wen-Chang Yang  »View Author Affiliations


Applied Optics, Vol. 53, Issue 4, pp. 605-617 (2014)
http://dx.doi.org/10.1364/AO.53.000605


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Abstract

This work presents a novel approach that integrates a shallow water semi-analytical (SSA) model and a genetic algorithm (GA) to retrieve water column inherent optical properties (IOPs) and identify bottom types simultaneously from measurement of subsurface remote sensing reflectance. This GA–SSA approach is designed based on the assumption that each pixel is homogeneous with regard to the bottom type when viewed at small (centimeter) scales, and it is validated against a synthetic data set (N=11,250) that consists of five types of bottom, three levels of bottom depth, 15 concentrations of chlorophyll-a (Chl-a), and a wide range of modeled IOP variations in clear and optically complex waters representing the coral reef environment. The results indicate that the GA–SSA approach is accurate and robust in the retrieval of IOPs and its success rate in identifying the real bottom type is limited by the level of Chl-a and bottom depth. When a pixel is homogeneous at a small scale, the maximum allowable concentrations for GA–SSA to perfectly identify all the five bottom types are 0.7mg/m3 at 5 m bottom depth, 0.2mg/m3 at 10 m, and 0.07mg/m3 at 15 m. A promising 80% recognition rate of the benthic community is possible with GA–SSA when an underwater hyperspectral imager is deployed to examine the health status of coral reefs in a clean (Chl-a<1mg/m3) and shallow (bottom depth<10m) environment. Further study that collects field data for direct validation is required to ensure that the GA–SSA approach is also applicable in real coral reef regions.

© 2014 Optical Society of America

OCIS Codes
(010.4450) Atmospheric and oceanic optics : Oceanic optics
(010.7340) Atmospheric and oceanic optics : Water
(030.5620) Coherence and statistical optics : Radiative transfer
(100.3190) Image processing : Inverse problems

ToC Category:
Atmospheric and Oceanic Optics

History
Original Manuscript: June 26, 2013
Revised Manuscript: December 17, 2013
Manuscript Accepted: December 19, 2013
Published: January 24, 2014

Virtual Issues
Vol. 9, Iss. 4 Virtual Journal for Biomedical Optics

Citation
Chih-Hua Chang, Cheng-Chien Liu, Hsiao-Wei Chung, Long-Jeng Lee, and Wen-Chang Yang, "Development and evaluation of a genetic algorithm-based ocean color inversion model for simultaneously retrieving optical properties and bottom types in coral reef regions," Appl. Opt. 53, 605-617 (2014)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ao-53-4-605

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