Paper
18 May 2013 Impact of specular reflection on bottom type retrieved from WorldView-2 images
Karen W. Patterson, Gia Lamela
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Karen W. Patterson and Gia Lamela "Impact of specular reflection on bottom type retrieved from WorldView-2 images", Proc. SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX, 874310 (18 May 2013); https://doi.org/10.1117/12.2015124
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Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Specular reflections

Image processing

Reflectivity

Sensors

Remote sensing

Databases

Data modeling

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