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Sampling remotely sensed imagery for storage, retrieval and reconstruction

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Sampling remotely sensed imagery for storage, retrieval and reconstruction. / Atkinson, Peter M.; Curran, Paul J.; Webster, R.
In: Professional Geographer, Vol. 42, No. 3, 1990, p. 345-353.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Atkinson, PM, Curran, PJ & Webster, R 1990, 'Sampling remotely sensed imagery for storage, retrieval and reconstruction', Professional Geographer, vol. 42, no. 3, pp. 345-353. https://doi.org/10.1111/j.0033-0124.1990.00345.x

APA

Vancouver

Atkinson PM, Curran PJ, Webster R. Sampling remotely sensed imagery for storage, retrieval and reconstruction. Professional Geographer. 1990;42(3):345-353. doi: 10.1111/j.0033-0124.1990.00345.x

Author

Atkinson, Peter M. ; Curran, Paul J. ; Webster, R. / Sampling remotely sensed imagery for storage, retrieval and reconstruction. In: Professional Geographer. 1990 ; Vol. 42, No. 3. pp. 345-353.

Bibtex

@article{a6b245eb29f44a16b1ee93d7ec14568b,
title = "Sampling remotely sensed imagery for storage, retrieval and reconstruction",
abstract = "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.",
keywords = "images, interpolation, kriging, optimal sampling, variograms",
author = "Atkinson, {Peter M.} and Curran, {Paul J.} and R. Webster",
note = "M1 - 3",
year = "1990",
doi = "10.1111/j.0033-0124.1990.00345.x",
language = "English",
volume = "42",
pages = "345--353",
journal = "Professional Geographer",
issn = "1467-9272",
publisher = "Taylor and Francis Ltd.",
number = "3",

}

RIS

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 -