A Kalman filter approach to adaptive estimation of multispectral signaturesThe signatures of remote sensing data from agricultural crops exhibit significant non-stationarity, so that the performance of fixed parameter classifiers degenerates with time and distance from the initial training data. A class of adaptive decision-directed classifiers are being developed, based on Kalman filter theory. Limited results to date on two data sets indicate approximately a 25 to 40% reduction in rates of misclassification.
Document ID
19740037344
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Crane, R. B. (Michigan, Environmental Research Institute, Ann Arbor Mich., United States)