Modelling high resolution RS data with the aid of coarse resolution data and ancillary data.

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	360-371
Journal	International Journal of Applied Earth Observation and Geoinformation
Volume	23
DOIs	https://doi.org/10.1016/j.jag.2012.10.010
Publication status	Published - 18 Mar 2013

Keywords

@article{e8b66e4b297e415484492be36945649b,

title = "Modelling high resolution RS data with the aid of coarse resolution data and ancillary data.",

keywords = "Board May 2013, Geostatistics, Image restoration, Spatio-temporal resolution",

author = "L. Poggio and A. Gimona",

year = "2013",

month = mar,

day = "18",

doi = "10.1016/j.jag.2012.10.010",

language = "English",

volume = "23",

pages = "360--371",

journal = "International Journal of Applied Earth Observation and Geoinformation",

}

TY - JOUR

T1 - Modelling high resolution RS data with the aid of coarse resolution data and ancillary data.

AU - Poggio, L.

AU - Gimona, A.

PY - 2013/3/18

Y1 - 2013/3/18

KW - Board May 2013

KW - Geostatistics

KW - Image restoration

KW - Spatio-temporal resolution

U2 - 10.1016/j.jag.2012.10.010

DO - 10.1016/j.jag.2012.10.010

M3 - Article

VL - 23

SP - 360

EP - 371

JO - International Journal of Applied Earth Observation and Geoinformation

JF - International Journal of Applied Earth Observation and Geoinformation

ER -