Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Sampling remotely sensed imagery for storage, retrieval and reconstruction
AU - Atkinson, Peter M.
AU - Curran, Paul J.
AU - Webster, R.
N1 - M1 - 3
PY - 1990
Y1 - 1990
N2 - A major difficulty in remote sensing is handling the many data from sensors aboard aircraft and satellites. In this paper we identify an optimal procedure for sampling remotely sensed data before their storage or on their retrieval. The procedure depends on spatial correlation in the scene and uses kriging to estimate values that have been lost. An example in which data from an airborne multispectral scanner could be diminished to only about one tenth without serious loss of precision illustrates the method.
AB - A major difficulty in remote sensing is handling the many data from sensors aboard aircraft and satellites. In this paper we identify an optimal procedure for sampling remotely sensed data before their storage or on their retrieval. The procedure depends on spatial correlation in the scene and uses kriging to estimate values that have been lost. An example in which data from an airborne multispectral scanner could be diminished to only about one tenth without serious loss of precision illustrates the method.
KW - images
KW - interpolation
KW - kriging
KW - optimal sampling
KW - variograms
U2 - 10.1111/j.0033-0124.1990.00345.x
DO - 10.1111/j.0033-0124.1990.00345.x
M3 - Journal article
VL - 42
SP - 345
EP - 353
JO - Professional Geographer
JF - Professional Geographer
SN - 1467-9272
IS - 3
ER -