Sampling remotely sensed imagery for storage, retrieval and reconstruction
Atkinson, P.M., Curran, P.J. and Webster, R. (1990) Sampling remotely sensed imagery for storage, retrieval and reconstruction. Professional Geographer, 42, (3), 345-353. (doi:10.1111/j.0033-0124.1990.00345.x).
Full text not available from this repository.
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.
|Digital Object Identifier (DOI):||doi:10.1111/j.0033-0124.1990.00345.x|
|Subjects:||G Geography. Anthropology. Recreation > G Geography (General)|
|Divisions:||University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis
|Date Deposited:||29 Sep 2005|
|Last Modified:||06 Aug 2015 02:17|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
Actions (login required)