Multiple output Gaussian process regression algorithm for multi-frequency scattered data interpolation

  title={Multiple output Gaussian process regression algorithm for multi-frequency scattered data interpolation},
  author={Weitong Ruan and Adam B. Milstein and William J. Blackwell and Eric L. Miller},
  journal={2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
In recent years, CubeSats have emerged as a platform of intense interest for a wide range of applications, including remote sensing. Of specific interest in this paper are data processing challenges associated with the MIT's Microwave Atmospheric Satellite (MicroMAS). Due to the motion of MicroMAS and the geometry of the data acquisition process, measurements are not collected on a regular grid of spatial locations as required by most applications. Thus, a fundamental problem in processing… CONTINUE READING


Publications referenced by this paper.
Showing 1-9 of 9 references

Anisotropic Scattered Data Interpolation for Pushbroom Image Rectification

IEEE Transactions on Image Processing • 2014
View 2 Excerpts

Cubesats: Cost-effective science and technology platforms for emerging and developing nations

Kirk Woellert, Pascale Ehrenfreund, Antonio J Ricco, Henry Hertzfeld
Advances in Space Research, vol. 47, no. 4, pp. 663–684, 2011. • 2011
View 1 Excerpt

Scikit-learn: Machine Learning in Python

Journal of Machine Learning Research • 2011
View 3 Excerpts

An overview of small satellites in remote sensing

Herbert J Kramer, Arthur P Cracknell
International journal of remote Sensing, vol. 29, no. 15, pp. 4285– 4337, 2008. • 2008
View 1 Excerpt

The CubeSat Approach to Space Access

2008 IEEE Aerospace Conference • 2008
View 1 Excerpt

Similar Papers

Loading similar papers…