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Optimal Weight Design Approach for the Geometrically-Constrained Matching of Satellite Stereo Images

Optimal Weight Design Approach for the Geometrically-Constrained Matching of Satellite Stereo Images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_11ceb5b09ce1446584fcd51c49fcb93a

Optimal Weight Design Approach for the Geometrically-Constrained Matching of Satellite Stereo Images

About this item

Full title

Optimal Weight Design Approach for the Geometrically-Constrained Matching of Satellite Stereo Images

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2017-09, Vol.9 (9), p.965

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

This study presents an optimal weighting approach for combined image matching of high-resolution satellite stereo images (HRSI). When the rational polynomial coefficients (RPCs) for a pair of stereo images are available, some geometric constraints can be combined in image matching equations. Combining least squares image matching (LSM) equations wi...

Alternative Titles

Full title

Optimal Weight Design Approach for the Geometrically-Constrained Matching of Satellite Stereo Images

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_11ceb5b09ce1446584fcd51c49fcb93a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_11ceb5b09ce1446584fcd51c49fcb93a

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs9090965

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