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Multispectral Image Classification Techniques by sgrrsc is a document available to read on EtoBox.

Multispectral classification involves assigning labels to pixels in an image based on their spectral properties to categorize them into different land cover classes. It uses the digital values in spectral bands to classify each pixel based on its spectral signature. The output is a classified map showing the different land cover types as different colors or classes. Common classification methods include supervised classification, which uses sample pixels of known identity to classify other pixels, and unsup

Author

sgrrsc

Language

EN