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Backpropagation neural networks are applied to the problem of characterization of ultrasonic image texture to detect abnormalities in tissue texture which are indicative of liver disease. Twenty-one texture features were extracted from regions of interest in digitized ultrasonic images. A feature subset, identified by a stepwise selection process, formed the sample input to the networks together with...
Research and training in atmospheric lidar remote sensing requires highly versatile software environments for both experimentation and analysis. Experimentation and analysis may be conducted either directly on site at the location of the lidar equipment and/or institutional computer center or remotely from a distant location. The requirements for lidar software environments depend not only on type...
Cloud-type classification is an important component of meteorological and hydrological programs which require estimates of parameters such as solar radiation, rainfall, moisture, and sea-surface temperature. The accuracy of automatic cloud-type classification systems has been limited by ambiguities in multispectral cloud type signatures. Attempts to resolve these ambiguities by the addition of textural...
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