Machine Processing of Remotely Sensed Data: Fifth Annual Symposium, Purdue University, Laboratory for Applications of Remote Sensing, West Lafayette, Indiana, June 27-29, 1979I. M. Tendam, D. B. Morrison |
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1979 Machine Processing aerial agricultural Agronomy algorithm analysis Applications of Remote approach atmospheric Center channels classes classification accuracy clusters color correct correlation County cover types crop data base data set defoliation developed digital image Digital Terrain display elevation Engineering error estimates evaluation field Figure forest function geobase ground growth identified image processing image registration imagery Indiana Indiana State University infrared input inventory ISURSL Laboratory for Applications land cover Landsat data Landsat-D LARS matrix maximum likelihood method MSS band NASA output parameters path radiance percent photographs pixels procedure Processing of Remotely Purdue University reflectance region Remotely Sensed Data sample satellite scan scene segments Sensed Data Symposium sensor signature soil moisture spatial spectral classes spectral data spectral response statistics study area surface Table techniques tion topographic data transformation values vegetation VISSR wavelength West Lafayette wheat