Using compute unified device architecture-enabled graphic processing unit to accelerate fast Fourier transform-based regression Kriging interpolation on a MODIS land surface temperature image-Reference-Cited by-同舟云学术

Using compute unified device architecture-enabled graphic processing unit to accelerate fast Fourier transform-based regression Kriging interpolation on a MODIS land surface temperature image

Published:2016-06-23 Issue:2 Volume:10 Page:026036
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Hu Hongda¹,Shu Hong²,Hu Zhiyong³,Xu Jianhui⁴

Affiliation:

1. Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, 129 Luoyu Road, Wuhan 430079, Hubei, China

2. Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, 129 Luoyu Road, Wuhan 430079, Hubei, ChinabCollaborative Innovation Center of Geospatial Technology, Wuhan 430079, Hubei, China

3. University of West Florida, Department of Environmental Studies, Pensacola 32514, Florida, United States

4. Guangzhou Institute of Geography, Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou 510070, Guangdong, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference34 articles.

1. The geostatistical framework for spatial prediction

2. About regression-kriging: From equations to case studies

3. Local interpolation using a distributed parallel supercomputer

4. Massively parallel strategies for local spatial interpolation

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