gray-level co-occurrence matrix method Search Results


gray-level co-occurrence matrix enhanced convolutional neural network  (IEEE Access)
90
IEEE Access gray-level co-occurrence matrix enhanced convolutional neural network
Gray Level Co Occurrence Matrix Enhanced Convolutional Neural Network, supplied by IEEE Access, 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 enhanced convolutional neural network/product/IEEE Access
Average 90 stars, based on 1 article reviews
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gray-level co-occurrence matrices (glcm)  (Rocha labs)
90
Rocha labs gray-level co-occurrence matrices (glcm)
Gray Level Co Occurrence Matrices (Glcm), supplied by Rocha labs, 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 matrices (glcm)/product/Rocha labs
Average 90 stars, based on 1 article reviews
gray-level co-occurrence matrices (glcm) - by Bioz Stars, 2026-05
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band4  (Harris Geospatial Solutions)
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, 2026-05
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matlab image processing toolbox  (MathWorks Inc)
96
MathWorks Inc matlab image processing toolbox
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).
Matlab Image Processing Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab image processing toolbox/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
matlab image processing toolbox - by Bioz Stars, 2026-05
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gray-level co-occurrence matrices (glcms)  (Schmid GmbH)
90
Schmid GmbH gray-level co-occurrence matrices (glcms)
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).
Gray Level Co Occurrence Matrices (Glcms), supplied by Schmid GmbH, 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 matrices (glcms)/product/Schmid GmbH
Average 90 stars, based on 1 article reviews
gray-level co-occurrence matrices (glcms) - by Bioz Stars, 2026-05
90/100 stars
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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