Creating a Unique Intelligent Computing Theory – Associate Professor Chia-Hsiang Lin Precisely Reconstructing Hyperspectral Satellite Images

In order to effectively solve the problems of identifying and reconstructing hyperspectral satellite images, EE Associate Professor Chia-Hsiang Lin blended the advantages of convex optimization and deep learning, developing a unique coding theory to restore the missing parts of satellite images mathematically. The computational efficiency and image restoration of this technique is far ahead of current technology. It has also been published in IEEE Transactions on Geoscience and Remote Sensing, providing great value to space remote sensing technology.

EE Associate Professor Chia-Hsiang Lin's article has been published in IEEE Transactions on Geoscience and Remote Sensing.