A co-occurrence matrix or co-occurrence distribution (also referred to as gray-level co-occurrence matrices GLCMs) is a matrix that is defined over an image to be the distribution of co-occurring pixel values (grayscale values, or colors) at a given offset. Whether considering the intensity or grayscale values of the image or various dimensions of color, the co-occurrence matrix can measure the texture of the image. Because co-occurrence matrices are typically large and sparse, various metrics of the matrix are often taken to get a more useful set of features.
in this video, we've shown you sentinel-1 image pre-processing and applying GLCM to your images. all the processing has been applied in SNAP software which is a powerful software for Sentinel images processing.
if you had any question about the video, ask in the comments.
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#GLCM #Texture_measures #Sentinel_1 #SNAP #Gray_Level_Co_occurrence_Matrix #sentinel_1_image #apply_GLCM RS & GIS #RSandGIS #RS_&_GIS

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