New Entropy-Based Method Boosts Automatic Satellite Image Processing

Researchers in Russia have unveiled a novel method for the automatic processing of satellite imagery, a breakthrough publicized by the press service of the Russian News Agency. The approach centers on a practical use of entropy to quantify disorder and irregularity in visual data, enabling faster and more reliable identification of features across vast spaceborne datasets. In these images, entropy serves as a diagnostic lens: areas with consistent texture and shade imply uniform background, while zones with abrupt changes or distinctive patterns flag potential objects of interest, whether man-made structures or natural phenomena.