Development of Analysis Processing System Using Orbital Satellite Image Data

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The SAIAS system that processes image data extracted from passive sensors onboard in orbital satellites is improved and renovated. The contents of this innovated IBASYS system is described below :(1) The original FORTRAN programs are translated to C++, making possible to run on workstations and personal computers.(2) To verify the data conditions necessary for analysis preparation, the color pattern is expanded from 7 to 18 bands.(3) To improve the processing efficiency of geometric transformation of an image, the man-machine processing of error analysis and the image transformation processing was hierarchically added.(4) The K-means method is added in the unsupervised classifications, developing an algorithm using a raster classification processing.(5) A general notion algorithm to verify the application of a selected training data on an image data is added.(6) As an expansion to the classification methods, a theoretical investigation is made on FNN classification, a combination of fuzzy theory and neural network theory, and is made possible to classify an orbital satellite image data.