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Development of a Fast Convergence Gray-Level Co-Occurrence Matrix for Sea Surface Wind Direction Ext...

Development of a Fast Convergence Gray-Level Co-Occurrence Matrix for Sea Surface Wind Direction Ext...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b07c1a9357604eecac6a5c830c009dfb

Development of a Fast Convergence Gray-Level Co-Occurrence Matrix for Sea Surface Wind Direction Extraction from Marine Radar Images

About this item

Full title

Development of a Fast Convergence Gray-Level Co-Occurrence Matrix for Sea Surface Wind Direction Extraction from Marine Radar Images

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2023-04, Vol.15 (8), p.2078

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

The new sea surface wind direction from the X-band marine radar image is proposed in this study using a fast convergent gray-level co-occurrence matrix (FC-GLCM) algorithm. First, the radar image is sampled directly without the need for interpolation due to the algorithm’s application of the GLCM to the polar co-ordinate system, which reduces the i...

Alternative Titles

Full title

Development of a Fast Convergence Gray-Level Co-Occurrence Matrix for Sea Surface Wind Direction Extraction from Marine Radar Images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b07c1a9357604eecac6a5c830c009dfb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b07c1a9357604eecac6a5c830c009dfb

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs15082078

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