Recent Developments in High Performance Computing for Remote Sensing: A Review
By Craig A. Lee, S. Gasster, Antonio J. Plaza, Chein-I. Chang, Bormin Huang. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2011
321 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Ecology, Media Technology
View Paper: https://www.semanticscholar.org/paper/2adef4efcb4eae0aae2bdfa9ad55ba420162a9dc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Antonio J. Plaza
- Pedram Ghamisi
- Javier Plaza
- Jun Yu Li
- Patrick Hostert
- Tobias Kuemmerle
- Behnood Rasti
- Wenzhi Liao
In Ecology
- Antonio J. Plaza
- Javier Plaza
- Pedram Ghamisi
- Patrick Hostert
- Joris Aertsens
- Tobias Kuemmerle
- Behnood Rasti
- Wenzhi Liao
In Media Technology
- Antonio J. Plaza
- Javier Plaza
- Pedram Ghamisi
- Jun Yu Li
- Behnood Rasti
- Naoto Yokoya
- Sicong Liu
- José M. Bioucas-Dias
Citations in the corpus
- A review of Bayesian belief networks in ecosystem service modelling (2013, background): “Developments in the domain of high performance computing can significantly reduce calculation timewhen BBNs are applied spatially (Lee et al., 2011).”
- Remote sensing big data computing: Challenges and opportunities (2015, methodology): “NASA gives the first shot of building a NEX system for global RS data processing on a Beowulf cluster with 16 computers [42].”
- A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping (2013, background): “graphics processing units, cloud computing) thus is considerable [33].”
- Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art (2017, background): “In this sense, cloud computing offers advanced capabilities for service-oriented and high-performance computing [336].”