gray level co-occurrence matrix (glcm) analysis 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
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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
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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
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v22 analysis tool co-occurrence  (ATLAS.ti)
90
ATLAS.ti v22 analysis tool co-occurrence
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).
V22 Analysis Tool Co Occurrence, supplied by ATLAS.ti, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
v22 analysis tool co-occurrence - by Bioz Stars, 2026-05
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chi-square test  (CH Instruments)
90
CH Instruments chi-square test
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).
Chi Square Test, supplied by CH Instruments, 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/chi-square test/product/CH Instruments
Average 90 stars, based on 1 article reviews
chi-square test - by Bioz Stars, 2026-05
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chi-square statistics  (CH Instruments)
90
CH Instruments chi-square statistics
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).
Chi Square Statistics, supplied by CH Instruments, 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/chi-square statistics/product/CH Instruments
Average 90 stars, based on 1 article reviews
chi-square statistics - by Bioz Stars, 2026-05
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r studio software  (RStudio)
90
RStudio r studio software
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).
R Studio Software, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
r studio software - by Bioz Stars, 2026-05
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co occurrence  (Rajshahi City)
86
Rajshahi City co occurrence
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).
Co Occurrence, supplied by Rajshahi City, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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chi-square function  (RStudio)
90
RStudio chi-square function
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).
Chi Square Function, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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proc genmod  (SAS institute)
90
SAS institute proc genmod
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).
Proc Genmod, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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co-occurrence matrix  (GeneGo Inc)
90
GeneGo Inc co-occurrence matrix
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).
Co Occurrence Matrix, supplied by GeneGo Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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co-occurrence matrix  (NAVER Corp)
90
NAVER Corp co-occurrence matrix
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).
Co Occurrence Matrix, supplied by NAVER Corp, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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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