STRATIFICATION OF LANDSAT DATA BY CLUSTERING.

Marvin E Bauer, Barbara J. Davis

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

Full realization of the potential advantages of the synoptic coverage provided by Landsat will require the development and use of data analysis techniques which take into account the large variation and diversity of patterns found over many Landsat scenes. Stratification of the scene into units which are internally homogeneous is recommended as a first step in the analysis of data for whole or multiple frames of Landsat data. The use of clustering as an objective and efficient method of dividing scenes into areas which are spectrally similar (strata) is discussed and initial results, including classification performances and comparisons of spectral strata with major physical factors, are presented.

Original languageEnglish (US)
Pages26-35
Number of pages10
StatePublished - Jan 1 1976
EventSymp on Mach Process of Remotely Sensed Data - Lafayette, LA, USA
Duration: Jun 29 1976Jul 1 1976

Other

OtherSymp on Mach Process of Remotely Sensed Data
CityLafayette, LA, USA
Period6/29/767/1/76

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