consists of
hasSpecialisationCourse
Apply orthorectification to derive orthophoto.Evaluate attribute and scale uncertainty and relate it to the quality of derived orthophotos, accuracy of resulting image classification and matching.
Develop an image processing chain using non-linear filters and mathematical morphology operations for automatic information extraction from images in context of a given problem.Choose and apply a segmentation method to a given image and describe the uncertainty of the obtained result.Make informed decisions on appropriate image matching method for a given type of data and problem.Make informed decisions on the best classification method for a given set of images and a specific problem.
is course learning outcome of
OSIRIS number
course number
EC credits
durationHours
durationWeeks
endDate
2023-07-06T22:00:00Z
has delivery mode
hasDidacticalApproachComment
Image analysis requires a mixt ...... and practice will be achieved.
@en
has learning outcome
hasPrerequisiteComment
Preferably subjects as covered ...... ion of Geospatial Information.
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is part of programme
is part of specialisation
number of staff
quartileITC
quartileUT
startDate
2023-04-23T22:00:00Z
abstract
In this course, you will be in ...... e investigated in this course.
@en
title
Image Analysis
@en
type
label
Image Analysis
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prefLabel
Image Analysis
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