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M-DAS: System for multispectral data analysisM-DAS is a ground data processing system designed for analysis of multispectral data. M-DAS operates on multispectral data from LANDSAT, S-192, M2S and other sources in CCT form. Interactive training by operator-investigators using a variable cursor on a color display was used to derive optimum processing coefficients and data on cluster separability. An advanced multivariate normal-maximum likelihood processing algorithm was used to produce output in various formats: color-coded film images, geometrically corrected map overlays, moving displays of scene sections, coverage tabulations and categorized CCTs. The analysis procedure for M-DAS involves three phases: (1) screening and training, (2) analysis of training data to compute performance predictions and processing coefficients, and (3) processing of multichannel input data into categorized results. Typical M-DAS applications involve iteration between each of these phases. A series of photographs of the M-DAS display are used to illustrate M-DAS operation.
Document ID
19760010452
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Johnson, R. H.
(Bendix Corp. Ann Arbor, MI, United States)
Date Acquired
August 8, 2013
Publication Date
June 1, 1975
Publication Information
Publication: NASA. Lyndon B. Johnson Space Center NASA Earth Resources Surv. Symp., Vol. 1-B
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
I-16
Accession Number
76N17540
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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