Review



gray level co-occurrence matrix (glcm) using band4 version 5.3  (Harris Geospatial Solutions)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 90

    Structured Review

    Harris Geospatial Solutions gray level co-occurrence matrix (glcm) using band4 version 5.3
    Gray Level Co Occurrence Matrix (Glcm) Using Band4 Version 5.3, supplied by Harris Geospatial Solutions, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/gray level co-occurrence matrix (glcm) using band4 version 5.3/product/Harris Geospatial Solutions
    Average 90 stars, based on 1 article reviews
    gray level co-occurrence matrix (glcm) using band4 version 5.3 - by Bioz Stars, 2026-04
    90/100 stars

    Images



    Similar Products

    90
    Caparo Industries plc band4
    Band4, supplied by Caparo Industries plc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/band4/product/Caparo Industries plc
    Average 90 stars, based on 1 article reviews
    band4 - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

    90
    Xiaomi Inc mi band4 sports bracelet
    Mi Band4 Sports Bracelet, supplied by Xiaomi Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mi band4 sports bracelet/product/Xiaomi Inc
    Average 90 stars, based on 1 article reviews
    mi band4 sports bracelet - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

    90
    Harris Geospatial Solutions gray level co-occurrence matrix (glcm) using band4 version 5.3
    Gray Level Co Occurrence Matrix (Glcm) Using Band4 Version 5.3, supplied by Harris Geospatial Solutions, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/gray level co-occurrence matrix (glcm) using band4 version 5.3/product/Harris Geospatial Solutions
    Average 90 stars, based on 1 article reviews
    gray level co-occurrence matrix (glcm) using band4 version 5.3 - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

    90
    Harris Geospatial Solutions band4
    Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).
    Band4, supplied by Harris Geospatial Solutions, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/band4/product/Harris Geospatial Solutions
    Average 90 stars, based on 1 article reviews
    band4 - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

    band4  (DSMZ)
    86
    DSMZ band4
    Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).
    Band4, supplied by DSMZ, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/band4/product/DSMZ
    Average 86 stars, based on 1 article reviews
    band4 - by Bioz Stars, 2026-04
    86/100 stars
      Buy from Supplier

    Image Search Results


    Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).

    Journal: Remote sensing

    Article Title: Comparing Pixel- and Object-Based Approaches in Effectively Classifying Wetland-Dominated Landscapes

    doi: 10.3390/rs10010046

    Figure Lengend Snippet: Description of the input predictor variables used in this study (B1–B4 are Quickbird multispectral bands, while B5–B37 are identifications assigned to the derived spatial and spectral matrices).

    Article Snippet: Texture Metrics , Texture variables (contrast (B20), correlation (B21), dissimilarity (B22), entropy (B23), homogeneity (B24), mean (B25), 2nd moment (B26), and variance (B27)) computed as a measure of Gray Level Co-occurrence Matrix (GLCM) using Band4 (Harris Geospatial Solutions, Herndon, VA, USA, version 5.3). , Source: Harris Geospatial, Texture Metrics Background. Available online: www.harrisgeospatial.com/docs/backgroundtexturemetrics.html (accessed on 26 December 2017)..

    Techniques: Derivative Assay, Transformation Assay