Towards an intercomparison of automated registration algorithms for multiple source remote sensing data

J LeMoigne; W Xia; S Chettri; T El-Ghazawi; E Kaymaz; B.T Lerner; M Mareboyana; N Netanyahu; J Pierce; S Raghavan; J.C Tilton

Towards an intercomparison of automated registration algorithms for multiple source remote sensing data

J LeMoigne, W Xia, S Chettri, T El-Ghazawi, E Kaymaz, B.T Lerner, M Mareboyana, N Netanyahu, J Pierce, S Raghavan, J.C Tilton

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The first step in the integration of multiple data is registration, either relative image-to-image registration or absolute geo-registration, to a map or a fixed coordinate system. As the need for automating registration techniques is recognized, we feel that there is a need to survey all the registration methods which may be applicable to Earth and space science problems and to evaluate their performances on a large variety of existing remote sensing data as well as on simulated data of soon-to-be-flown instruments. In this paper we will describe: 1) the operational toolbox which we are developing and which will consist in some of the most important registration techniques; and 2) the quantitative intercomparison of the different methods, which will allow a user to select the desired registration technique based on this evaluation and the visualization of the registration results.

Original language	American English
Title of host publication	CESDIS Image Registration Workshop, NASA/GSFC
State	Published - 1997

Bibliographical note

Place of conference:Greenbelt, MD United States

Cite this

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title = "Towards an intercomparison of automated registration algorithms for multiple source remote sensing data",

abstract = "The first step in the integration of multiple data is registration, either relative image-to-image registration or absolute geo-registration, to a map or a fixed coordinate system. As the need for automating registration techniques is recognized, we feel that there is a need to survey all the registration methods which may be applicable to Earth and space science problems and to evaluate their performances on a large variety of existing remote sensing data as well as on simulated data of soon-to-be-flown instruments. In this paper we will describe: 1) the operational toolbox which we are developing and which will consist in some of the most important registration techniques; and 2) the quantitative intercomparison of the different methods, which will allow a user to select the desired registration technique based on this evaluation and the visualization of the registration results.",

author = "J LeMoigne and W Xia and S Chettri and T El-Ghazawi and E Kaymaz and B.T Lerner and M Mareboyana and N Netanyahu and J Pierce and S Raghavan and J.C Tilton",

note = "Place of conference:Greenbelt, MD United States",

year = "1997",

language = "American English",

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T1 - Towards an intercomparison of automated registration algorithms for multiple source remote sensing data

AU - LeMoigne, J

AU - Xia, W

AU - Chettri, S

AU - El-Ghazawi, T

AU - Kaymaz, E

AU - Lerner, B.T

AU - Mareboyana, M

AU - Netanyahu, N

AU - Pierce, J

AU - Raghavan, S

AU - Tilton, J.C

N1 - Place of conference:Greenbelt, MD United States

PY - 1997

Y1 - 1997

N2 - The first step in the integration of multiple data is registration, either relative image-to-image registration or absolute geo-registration, to a map or a fixed coordinate system. As the need for automating registration techniques is recognized, we feel that there is a need to survey all the registration methods which may be applicable to Earth and space science problems and to evaluate their performances on a large variety of existing remote sensing data as well as on simulated data of soon-to-be-flown instruments. In this paper we will describe: 1) the operational toolbox which we are developing and which will consist in some of the most important registration techniques; and 2) the quantitative intercomparison of the different methods, which will allow a user to select the desired registration technique based on this evaluation and the visualization of the registration results.

AB - The first step in the integration of multiple data is registration, either relative image-to-image registration or absolute geo-registration, to a map or a fixed coordinate system. As the need for automating registration techniques is recognized, we feel that there is a need to survey all the registration methods which may be applicable to Earth and space science problems and to evaluate their performances on a large variety of existing remote sensing data as well as on simulated data of soon-to-be-flown instruments. In this paper we will describe: 1) the operational toolbox which we are developing and which will consist in some of the most important registration techniques; and 2) the quantitative intercomparison of the different methods, which will allow a user to select the desired registration technique based on this evaluation and the visualization of the registration results.

UR - https://scholar.google.co.il/scholar?q=Towards+an+Intercomparison+of+Automated+Registration+Algorithms+for+Multiple+Source+Remote+Sensing+Data&btnG=&hl=en&as_sdt=0%2C5

M3 - Conference contribution

BT - CESDIS Image Registration Workshop, NASA/GSFC

ER -

Towards an intercomparison of automated registration algorithms for multiple source remote sensing data

Abstract

Bibliographical note

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