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Proceedings Paper

Impact of specular reflection on bottom type retrieved from WorldView-2 images
Author(s): Karen W. Patterson; Gia Lamela
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Paper Abstract

The Naval Research Laboratory (NRL) has been developing the Coastal Water Spectral Toolkit (CWST) to estimate water depth, bottom type and water column constituents such as chlorophyll, suspended sediments and chromophoric dissolved organic matter from hyperspectral imagery. The CWST uses a look-up table approach, comparing remote sensing reflectance spectra observed in an image to a database of modeled spectra for pre-determined water column constituents, depth and bottom type. Recently the CWST was modified to process multi-spectral WorldView-2 imagery. Generally imagery processed through the CWST has been collected under optimal sun and viewing conditions so as to minimize surface effects such as specular reflection. As such, in our standard atmospheric correction process we do not include a specular reflection correction. In June 2010 a series of 7 WorldView-2 images was collected within 2 minutes over Moreton Bay, Australia. The images clearly contain varying amounts of surface specular reflection. Each of the 7 images was processed through the CWST using identical processing to evaluate the impact of ignoring specular reflection on coverage and consistency of bottom types retrieved.

Paper Details

Date Published: 18 May 2013
PDF: 9 pages
Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 874310 (18 May 2013); doi: 10.1117/12.2015124
Show Author Affiliations
Karen W. Patterson, U.S. Naval Research Lab. (United States)
Gia Lamela, U.S. Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 8743:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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