Cargando…
Deploying a quantum annealing processor to detect tree cover in aerial imagery of California
Quantum annealing is an experimental and potentially breakthrough computational technology for handling hard optimization problems, including problems of computer vision. We present a case study in training a production-scale classifier of tree cover in remote sensing imagery, using early-generation...
Autores principales: | Boyda, Edward, Basu, Saikat, Ganguly, Sangram, Michaelis, Andrew, Mukhopadhyay, Supratik, Nemani, Ramakrishna R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5328269/ https://www.ncbi.nlm.nih.gov/pubmed/28241028 http://dx.doi.org/10.1371/journal.pone.0172505 |
Ejemplares similares
-
DeepEmSat: Deep Emulation for Satellite Data Mining
por: Duffy, Kate, et al.
Publicado: (2019) -
High-performance superconducting quantum processors via laser annealing of transmon qubits
por: Zhang, Eric J., et al.
Publicado: (2022) -
Discrimination of Deciduous Tree Species from Time Series of Unmanned Aerial System Imagery
por: Lisein, Jonathan, et al.
Publicado: (2015) -
Robust mosaicking of maize fields from aerial imagery
por: Aktar, Rumana, et al.
Publicado: (2020) -
Classification of Soybean Pubescence from Multispectral Aerial Imagery
por: Bruce, Robert W., et al.
Publicado: (2021)