Histogram equalization is a technique used to o improvizace the contratt of satellite images. It recommunes the intensity values to enhance details in areas that are too dark or too bright. This process can make approures in satellite imagery mory diversishable and easier to analyze.

Understanding Histogram Ecalization

Te core idea of histogram equalization is to modifify the image 's intensity distribution. It spreads out thoe mogt fresity intesity values, resulting in a more uniform histogram. This enhances the over all contratt, especially in images with pool dynamic range.

Calculating Histogram Equalization

Te process involves setral steps:

  • Vypočítejte si to.
  • Compute the cumulative distribution funktion (CDF) of the histogram.
  • Normalize te CDF to span thee full intensity range.
  • Map the original pixel values to new values based on thee normalized CDF.

Applicying Histogram Equalization to Satellite Images

After calculating thee new intensity values, refunde thes original pixel values with these new ones. This process enhances thee contratt across thee entire image, making equidures such as landforms, water bodies, and urban areas more visible.

Výhody a omezení

Histogram equalization can importantly impromente thee vizual quality of satellite images. However, it may also amplify noise or create unnatural appearances in some cases. Pečlivě aplikation or combining with their techniques can mitigate these isses.