INTEGRATED QUALITY EVALUATION OF THE IN-SITU NETWORKING MEASUREMENTS AND UPSCALING USING GAUSSIAN PROCESS REGRESSION

The flourished development of wireless sensor network technology sheds light to the effective and inexpensive collection of in-situ networking measurements. This will contribute to the temporal validation of coarse resolution remote sensing products. However, the quality evaluation of the in-situ ne...

Full description

Bibliographic Details
Main Authors: G. Yin, A. Li
Format: Article
Language:English
Published: Copernicus Publications 2017-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/567/2017/isprs-archives-XLII-2-W7-567-2017.pdf