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Mathematical modeling of airborne pu...

Lee, Changno.

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Mathematical modeling of airborne pushbroom imagery using point and linear features.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mathematical modeling of airborne pushbroom imagery using point and linear features./
Author:	Lee, Changno.
Description:	200 p.
Notes:	Major Professor: James S. Bethel.
Contained By:	Dissertation Abstracts International60-11B.
Subject:	Engineering, Civil. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9951977
ISBN:	9780599537545

Mathematical modeling of airborne pushbroom imagery using point and linear features.
Lee, Changno.

Mathematical modeling of airborne pushbroom imagery using point and linear features. - 200 p.

Major Professor: James S. Bethel.

Thesis (Ph.D.)--Purdue University, 1999.

Airborne pushbroom imaging systems are becoming increasingly of interest for panchromatic, multispectral, and hyperspectral applications. The source imagery for this paper is from the HYDICE (Hyperspectral Digital Imagery Collection Experiment) sensor, developed by the Naval Research Laboratory at Stennis Space Center. The primary focus of this paper is to present rigorous mathematical models that rectify a single band of HYDICE imagery so that each pixel in the image can be accurately transformed to its ground location. Equations are presented for a spline model and a Gauss-Markov model. The implementation of the mathematical modeling of straight linear features into the rectification using either model is discussed. The valuable contribution of linear features and the superior performance of the Gauss-Markov model are shown in tables as well as in orthorectified images that compare the results to that from a spline model.

ISBN: 9780599537545Subjects--Topical Terms:

783781
Engineering, Civil.

Mathematical modeling of airborne pushbroom imagery using point and linear features.
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020 $a 9780599537545
035 $a (UMI)AAI9951977
035 $a AAI9951977
040 $a UMI $c UMI
100 1 $a Lee, Changno. $3 1269133
245 1 0 $a Mathematical modeling of airborne pushbroom imagery using point and linear features.
300 $a 200 p.
500 $a Major Professor: James S. Bethel.
500 $a Source: Dissertation Abstracts International, Volume: 60-11, Section: B, page: 5657.
502 $a Thesis (Ph.D.)--Purdue University, 1999.
520 $a Airborne pushbroom imaging systems are becoming increasingly of interest for panchromatic, multispectral, and hyperspectral applications. The source imagery for this paper is from the HYDICE (Hyperspectral Digital Imagery Collection Experiment) sensor, developed by the Naval Research Laboratory at Stennis Space Center. The primary focus of this paper is to present rigorous mathematical models that rectify a single band of HYDICE imagery so that each pixel in the image can be accurately transformed to its ground location. Equations are presented for a spline model and a Gauss-Markov model. The implementation of the mathematical modeling of straight linear features into the rectification using either model is discussed. The valuable contribution of linear features and the superior performance of the Gauss-Markov model are shown in tables as well as in orthorectified images that compare the results to that from a spline model.
590 $a School code: 0183.
650 4 $a Engineering, Civil. $3 783781
650 4 $a Remote Sensing. $3 1018559
690 $a 0543
690 $a 0799
710 2 $a Purdue University. $3 1017663
773 0 $t Dissertation Abstracts International $g 60-11B.
790 $a 0183
790 1 0 $a Bethel, James S., $e advisor
791 $a Ph.D.
792 $a 1999
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9951977