Abstract: Spectral unmixing is an important technique for remotely sensed hyperspectral data exploitation. It amounts to identifying a set of pure spectral signatures, which are called endmembers, and ...
This is not an officially supported Google product. If you are using our data, metadata, or pre-trained models (new as of 07/17/2022), see the "Downloads" section of the project page. If you are ...
Abstract: The tensor train (TT) is a popular way of representing high-dimensional hyper-rectangular data structures called tensors. It is widely used, for example, in quantum chemistry under the name ...
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