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Mathematical modeling of airborne pu...
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Lee, Changno.
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Mathematical modeling of airborne pushbroom imagery using point and linear features.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Mathematical modeling of airborne pushbroom imagery using point and linear features./
作者:
Lee, Changno.
面頁冊數:
200 p.
附註:
Major Professor: James S. Bethel.
Contained By:
Dissertation Abstracts International60-11B.
標題:
Engineering, Civil. -
電子資源:
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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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.
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