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Implementation Guide: MATLAB Code for Satellite Image Contrast Enhancement
"Satellite imagery often suffers from low contrast due to atmospheric scattering, unfavorable lighting conditions, or sensor limitations. Enhancing these images is a critical preprocessing step for remote sensing applications, including land-cover classification, urban planning, and environmental monitoring. By leveraging MATLAB’s Image Processing Toolbox, researchers and engineers can apply advanced algorithms—such as Histogram Equalization, Contrast-Limited Adaptive Histogram Equalization (CLAHE), and spatial filtering—to restore visual detail and improve the signal-to-noise ratio in multispectral and panchromatic satellite data. Understandi..."
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