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Multiple image matching in an automatic aerotriangulation system

  • Ohio State University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A crucial part of the aerotriangulation process is the identification and precise measurement of well-distributed points over areas with multiple image overlap. The selected point positions should be determined with sub-pixel accuracy on all the overlapping images. In this paper we describe an algorithm which combines gray-scale matching with geometrical constraints. The least squares method works in object space which is derived from the overlap and sensor geometry approximations. The model is based on the simultaneous use of multiple images which is fundamentally different from the traditional pairwise approach. Some practical data highlight the object-space-constrained, affine-transformation-based, gray-scale, least squares matching method.

Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns - 5th International Conference, CAIP 1993, Proceedings
EditorsDmitry Chetverikov, Walter G. Kropatsch
PublisherSpringer Verlag
Pages750-758
Number of pages9
ISBN (Print)9783540572336
DOIs
StatePublished - 1993
Event5th International Conference on Computer Analysis of Images and Patterns, CAIP 1993 - Budapest, Hungary
Duration: Sep 13 1993Sep 15 1993

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume719 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Computer Analysis of Images and Patterns, CAIP 1993
Country/TerritoryHungary
CityBudapest
Period09/13/9309/15/93

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