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LANDSAT-4 MSS And Thematic Mapper Data Quality And Information Content Analysis

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8 Author(s)
Paul E. Anuta ; Laboratory for Applications of Remote Sensing, Purdue University, West Lafayette, IN 47906-1399 ; Luis A. Bartolucci ; M. Ellen Dean ; D. Fabian Lozano
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Landsat-4 Thematic Mapper and Multispectral Scanner data were analyzed to obtain information on data quality and information content. Geometric evaluations were performed to test band-to-band registration accuracy. Thematic Mapper overall system resolution was evaluated using scene objects which demonstrated sharp high contrast edge responses. Radiometric evaluation included detector relative calibration, effects of resampling, and coherent noise effects. Information content evaluation was carried out using clustering, principal components, transformed divergence separability measure, and numerous supervised classifiers on data from Iowa and Illinois. A detailed spectral class analysis (multispectral classification) was carried out on data from the Des Moines, Iowa area to compare the information content of the MSS and TM for a large number of scene classes.

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IEEE Transactions on Geoscience and Remote Sensing  (Volume:GE-22 ,  Issue: 3 )