Directory contents:
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- Raw:      Starting point: ASCII export from ERDAS
- Docs:     Any docs or pics describing the data
- PubNN:    The standard data set, published in Neural Networks
- Simple:   A simpler derivation of the data, same general format
- RuleDefs: Rule definitions, used by 'knowledge discovery'

Instructions:
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First run the 'unWrap.bat' batch file in this directory. This batch 
file calls three Classer scripts to generate several versions of
the Boston testbed.

Details:
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The Boston testbed is an image of the area north of Boston.
The image is 260 pixels wide by 600 pixels high, at 15m resolution.
Each pixel is described with 41 features derived using a version of the Lincoln
Lab Neural Fusion module.

Pixels are classified in the ground truth data as belonging to one of eight
classes: beach, ocean, ice, river, road, park, residential, industrial.
Of the 216,000 pixels, 29,003 are labeled.

The data have been used in:

Carpenter, G.A., Martens, S., Ogas, O.J. (2004) "Self-organizing hierarchical knowledge
discovery by an ARTMAP image fusion system." Proceedings of the Seventh International
Conference on Information Fusion (Stockholm, June 04) 235-242.

Carpenter, G.A., Martens, S., & Ogas, O.J. (2005). "Self-organizing information fusion 
and hierarchical knowledge discovery:  a new framework using ARTMAP neural networks." 
Neural Networks, 18(3), 287-295