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Sampling remotely sensed imagery for storage, retrieval and reconstruction

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<mark>Journal publication date</mark>1990
<mark>Journal</mark>Professional Geographer
Issue number3
Volume42
Number of pages9
Pages (from-to)345-353
Publication StatusPublished
<mark>Original language</mark>English

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.

Bibliographic note

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