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An algorithm for retrieval of optica...
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Castrodad Carrau, Alexey.
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An algorithm for retrieval of optical properties, bathymetry and benthic cover in shallow waters from hyperspectral imagery.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
An algorithm for retrieval of optical properties, bathymetry and benthic cover in shallow waters from hyperspectral imagery./
作者:
Castrodad Carrau, Alexey.
面頁冊數:
92 p.
附註:
Source: Masters Abstracts International, Volume: 44-03, page: 1448.
Contained By:
Masters Abstracts International44-03.
標題:
Engineering, Electronics and Electrical. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1431314
ISBN:
9780542458897
An algorithm for retrieval of optical properties, bathymetry and benthic cover in shallow waters from hyperspectral imagery.
Castrodad Carrau, Alexey.
An algorithm for retrieval of optical properties, bathymetry and benthic cover in shallow waters from hyperspectral imagery.
- 92 p.
Source: Masters Abstracts International, Volume: 44-03, page: 1448.
Thesis (M.S.)--University of Puerto Rico, Mayaguez (Puerto Rico), 2006.
Hyperspectral imagery has been shown to be a powerful technology for quantitative monitoring of shallow water coastal environments. In coastal remote sensing, to estimate sea bottom properties from hyperspectral imagery, we need to remove the effects of the atmosphere and the water column from the measured spectral signature. In our work, we use a standard algorithm available from NRL to correct for atmospheric effects in hyperspectral imagery to retrieve the water leaving remote sensing reflectance, R rs, from which the subsurface remote sensing reflectance, rrs, is retrieved. Here, we present results in the development of an algorithm combining inversion and unmixing models to retrieve bottom reflectance, water column optical properties, bathymetry, and benthic composition from subsurface remote sensing reflectance. A bio-optical model developed by Z. P. Lee in 1998 and 1999 relates Rrs , and rrs, to the water optical properties (OP's), depth, and bottom reflectance. We employ an iterative algorithm to retrieve the parameters of interest. As in Goodman (2004), Lee's original model is enhanced by adding a linear mixing model for approximating bottom composition, which is used to extract subpixel information in low spatial resolution satellite and airborne hyperspectral sensors. Results using both simulated data and AVIRIS imagery from Hawaii are presented.
ISBN: 9780542458897Subjects--Topical Terms:
626636
Engineering, Electronics and Electrical.
An algorithm for retrieval of optical properties, bathymetry and benthic cover in shallow waters from hyperspectral imagery.
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Hyperspectral imagery has been shown to be a powerful technology for quantitative monitoring of shallow water coastal environments. In coastal remote sensing, to estimate sea bottom properties from hyperspectral imagery, we need to remove the effects of the atmosphere and the water column from the measured spectral signature. In our work, we use a standard algorithm available from NRL to correct for atmospheric effects in hyperspectral imagery to retrieve the water leaving remote sensing reflectance, R rs, from which the subsurface remote sensing reflectance, rrs, is retrieved. Here, we present results in the development of an algorithm combining inversion and unmixing models to retrieve bottom reflectance, water column optical properties, bathymetry, and benthic composition from subsurface remote sensing reflectance. A bio-optical model developed by Z. P. Lee in 1998 and 1999 relates Rrs , and rrs, to the water optical properties (OP's), depth, and bottom reflectance. We employ an iterative algorithm to retrieve the parameters of interest. As in Goodman (2004), Lee's original model is enhanced by adding a linear mixing model for approximating bottom composition, which is used to extract subpixel information in low spatial resolution satellite and airborne hyperspectral sensors. Results using both simulated data and AVIRIS imagery from Hawaii are presented.
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