東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

An algorithm for retrieval of optica...

Castrodad Carrau, Alexey.

Linked to FindBook

Google Book

Amazon

博客來

An algorithm for retrieval of optical properties, bathymetry and benthic cover in shallow waters from hyperspectral imagery.

Record Type:	Electronic resources : Monograph/item
Title/Author:	An algorithm for retrieval of optical properties, bathymetry and benthic cover in shallow waters from hyperspectral imagery./
Author:	Castrodad Carrau, Alexey.
Description:	92 p.
Notes:	Source: Masters Abstracts International, Volume: 44-03, page: 1448.
Contained By:	Masters Abstracts International44-03.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	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.
LDR:02344nmm 2200289 4500 001 1825485
005 20061211074642.5
008 130610s2006 eng d
020 $a 9780542458897
035 $a (UnM)AAI1431314
035 $a AAI1431314
040 $a UnM $c UnM
100 1 $a Castrodad Carrau, Alexey. $3 1914488
245 1 3 $a An algorithm for retrieval of optical properties, bathymetry and benthic cover in shallow waters from hyperspectral imagery.
300 $a 92 p.
500 $a Source: Masters Abstracts International, Volume: 44-03, page: 1448.
500 $a Adviser: Miguel Velez Reyes.
502 $a Thesis (M.S.)--University of Puerto Rico, Mayaguez (Puerto Rico), 2006.
520 $a 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.
590 $a School code: 0553.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Marine and Ocean. $3 1019064
650 4 $a Environmental Sciences. $3 676987
690 $a 0544
690 $a 0547
690 $a 0768
710 2 0 $a University of Puerto Rico, Mayaguez (Puerto Rico). $3 1017811
773 0 $t Masters Abstracts International $g 44-03.
790 1 0 $a Reyes, Miguel Velez, $e advisor
790 $a 0553
791 $a M.S.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1431314