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Found 5 papers, 1 papers with code
Hyperspectral Lightcurve Inversion for Attitude Determination
The theoretical and practical aspects of this task are investigated, and the methodology is tested on synthetic data.
Space Object Identification and Classification from Hyperspectral Material Analysis
Two techniques are used for material identification and classification: one based on machine learning and the other based on a least square match with a library of known spectra.
Operational Neural Networks for Parameter-Efficient Hyperspectral Single-Image Super-Resolution
This work focuses on extending the convolutional filters of a popular super-resolution model to more powerful operational filters to enhance the model performance on hyperspectral images.
Compressive Sampling Using a Pushframe Camera
The recently described pushframe imager, a parallelized single pixel camera capturing with a pushbroom-like motion, is intrinsically suited to both remote-sensing and compressive sampling.
Activation Functions: Comparison of trends in Practice and Research for Deep Learning
Deep neural networks have been successfully used in diverse emerging domains to solve real world complex problems with may more deep learning(DL) architectures, being developed to date.
