Genie Pro is a general purpose, interactive, adaptive tool for automatically labeling regions and finding objects in large amounts of image data. Genie Pro uses supervised learning techniques to search for spatio-spectral algorithms that are best able to match exaple labels provided by a user during a training session. After Genie Pro has discovered a useful algorithm, this algorith can then be applied to other similar types of image data, to label regions and objects similar to those provided during the training session. Genie Pro was originally developed for analyzing multispectral satellite data, but it works equally well with panchromatic (grayscale) and hyperspectral satellite data, aerial imagery, and various kinds of medical imagery. AS a rough guideline, Genie Pro can work with any imagery where the scene being imaged is all approximately at a constant distance fromt he imaging device, and so the scale of imagery is fixed. Applications for Genie Pro include: Crop and terrain type mapping, Road and river network mapping, Broad area search for vehicles and buildings, and Cancer identification in histological images.
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Perkins, S., Esch-Mosher, D., Edlund, K., Eads, D., Galassi, M., Theiler, J., Porter, R., Harvey, N., and Brumby, S. Genie Pro.
Computer software. Vers. 00. National Geospatial-Intelligence Agency. 15 May. 2004.
Web.
Perkins, S., Esch-Mosher, D., Edlund, K., Eads, D., Galassi, M., Theiler, J., Porter, R., Harvey, N., & Brumby, S. (2004, May 15). Genie Pro (Version 00) [Computer software].
Perkins, S., Esch-Mosher, D., Edlund, K., Eads, D., Galassi, M., Theiler, J., Porter, R., Harvey, N., and Brumby, S. Genie Pro.
Computer software. Version 00. May 15, 2004.
@misc{osti_1230905,
title = {Genie Pro, Version 00},
author = {Perkins, S. and Esch-Mosher, D. and Edlund, K. and Eads, D. and Galassi, M. and Theiler, J. and Porter, R. and Harvey, N. and Brumby, S.},
abstractNote = {Genie Pro is a general purpose, interactive, adaptive tool for automatically labeling regions and finding objects in large amounts of image data. Genie Pro uses supervised learning techniques to search for spatio-spectral algorithms that are best able to match exaple labels provided by a user during a training session. After Genie Pro has discovered a useful algorithm, this algorith can then be applied to other similar types of image data, to label regions and objects similar to those provided during the training session. Genie Pro was originally developed for analyzing multispectral satellite data, but it works equally well with panchromatic (grayscale) and hyperspectral satellite data, aerial imagery, and various kinds of medical imagery. AS a rough guideline, Genie Pro can work with any imagery where the scene being imaged is all approximately at a constant distance fromt he imaging device, and so the scale of imagery is fixed. Applications for Genie Pro include: Crop and terrain type mapping, Road and river network mapping, Broad area search for vehicles and buildings, and Cancer identification in histological images.},
doi = {},
url = {https://www.osti.gov/biblio/1230905},
year = {Sat May 15 00:00:00 EDT 2004},
month = {Sat May 15 00:00:00 EDT 2004},
note =
}
