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A Compressive-Sensing-Based Approach for the Detection and Characterization of Buried Objects.
Michele Ambrosanio
Vito Pascazio
Published in:
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2015)
Keyphrases
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compressive sensing
random projections
image recovery
compressive sampling
sparse representation
signal reconstruction
image representation
signal processing
distributed source coding
object recognition
ground penetrating radar
neural network
moving objects
query processing
structured sparsity