HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding
HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding is a scholarly work, published in 2024 in ''IEEE Transactions on Geoscience and Remote Sensing''. The main subjects of the publication include image, artificial intelligence, feature extraction, image fusion, decomposition, computer vision, remote sensing, computer science, embedding, feature, pattern recognition, and hyperspectral imaging. The dissection of hyperspectral images into intrinsic components through hyperspectral intrinsic image decomposition (HIID) enhances the interpretability of hyperspectral data, providing a foundation for more accurate classification outcomes.