Remote Sensing Image Enhancement for Next-Generation Satellite Services
Improving satellite image quality can follow two paths. The conventional path depends on new hardware investment, while the HybridATNet path enhances the value of images already captured by existing sensors. Developed from research at Chulalongkorn University, HybridATNet applies AI-based super-resolution to improve the clarity and usefulness of remote sensing imagery. 🔍 Overview For satellite service providers and remote sensing users,...
