Multispectral data acquisition and classification - Computer modeling for smart sensor designIn this paper a model of the processes involved in multispectral remote sensing and data classification is developed as a tool for designing and evaluating smart sensors. The model has both stochastic and deterministic elements and accounts for solar radiation, atmospheric radiative transfer, surface reflectance, sensor spectral reponses, and classification algorithms. Preliminary results are presented which indicate the validity and usefulness of this approach. Future capabilities of smart sensors will ultimately be limited by the accuracy with which multispectral remote sensing processes and their error sources can be computationally modeled.
Document ID
19810028954
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Park, S. K. (NASA Langley Research Center Hampton, VA, United States)
Davis, R. E. (NASA Langley Research Center Hampton, VA, United States)
Huck, F. O. (NASA Langley Research Center Hampton, Va., United States)
Arduini, R. F. (Computer Sciences Corp. Hampton, Va., United States)