LIDAR-ASSISTED MULTI-IMAGE MATCHING FOR 3-D MODEL AND SENSOR POSE REFINEMENT

A 3-D model of a subject matter may be constructed from a plurality of lidar shots and overlapping EO images of the subject matter. Each of the lidar shots may be mapped to image patches within two or more of the EO images using navigation data associated with the lidar shots and EO images. Each of...

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Main Authors PACK ROBERT TAYLOR, ISRAELSEN PAUL
Format Patent
LanguageEnglish
Published 12.08.2010
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Abstract A 3-D model of a subject matter may be constructed from a plurality of lidar shots and overlapping EO images of the subject matter. Each of the lidar shots may be mapped to image patches within two or more of the EO images using navigation data associated with the lidar shots and EO images. Each of the back-projected lidar points may be set as a centroid of an image patch (collection of pixels) within an EO image. With the aid of the lidar centroids, the image patches in overlapping EO images may be correlated and an image-based pixel-to-pixel coordinate association therebetween may be calculated. Using this refined pixel-to-pixel coordinate association, a 3-D model of the subject matter may be constructed and refined using photogrammetry techniques. Videogrammetry techniques, such as optical flow techniques, may be applied if a sufficient amount of EO imagery data is available.
AbstractList A 3-D model of a subject matter may be constructed from a plurality of lidar shots and overlapping EO images of the subject matter. Each of the lidar shots may be mapped to image patches within two or more of the EO images using navigation data associated with the lidar shots and EO images. Each of the back-projected lidar points may be set as a centroid of an image patch (collection of pixels) within an EO image. With the aid of the lidar centroids, the image patches in overlapping EO images may be correlated and an image-based pixel-to-pixel coordinate association therebetween may be calculated. Using this refined pixel-to-pixel coordinate association, a 3-D model of the subject matter may be constructed and refined using photogrammetry techniques. Videogrammetry techniques, such as optical flow techniques, may be applied if a sufficient amount of EO imagery data is available.
Author PACK ROBERT TAYLOR
ISRAELSEN PAUL
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Snippet A 3-D model of a subject matter may be constructed from a plurality of lidar shots and overlapping EO images of the subject matter. Each of the lidar shots may...
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SubjectTerms ANALOGOUS ARRANGEMENTS USING OTHER WAVES
CALCULATING
COMPUTING
COUNTING
DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES
ELECTRIC DIGITAL DATA PROCESSING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES
MEASURING
PHYSICS
RADIO DIRECTION-FINDING
RADIO NAVIGATION
TESTING
Title LIDAR-ASSISTED MULTI-IMAGE MATCHING FOR 3-D MODEL AND SENSOR POSE REFINEMENT
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