Combining Masked Autoencoding and Neural Fields for Multi-band Satellite Understanding
Multi-spectral satellite remote sensing is a primary way to monitor planet-scale events such as deforestation, land-cover change, fire, and flooding. Unfortunately, incomplete spatial coverage and sparse temporal sampling make it challenging to develop a unified understanding of the environment. We...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2023
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| Online Access: | https://hdl.handle.net/1721.1/150309 |