Image classification using R

Image Classification Using R

Image classification is a crucial aspect of computer vision and remote sensing, where the goal is to categorize pixels or regions within an image into predefined classes. R, a powerful statistical computing language, offers various packages and tools for performing image classification tasks. Here’s a brief overview of how image classification can be carried out using R:

1. Data Preparation

Before classification, the image data must be prepared and preprocessed. This involves:
- Loading Images: Use packages like `raster` or `rgdal` to read raster data from images.
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