Using Support Vector Machine Learning to automatically interpret MODIS, ALI, and L-band SAR remotely sensed imagery for hydrology, land cover, and cryosphere applications. Doubleday, J., Mclaren, D., Chien, S., & Lou, Y. In International Joint Conference on Artificial Intelligence Workshop on Artificial Intelligence in Space (IJCAI 2011), Barcelona, Spain, July, 2011. Paper bibtex 4 downloads @inproceedings{doubleday-mclaren-chien-et-al-IJCAI-2011,
title = {Using Support Vector Machine Learning to automatically interpret MODIS, ALI, and L-band SAR remotely sensed imagery for hydrology, land cover, and cryosphere applications.},
author = {J. Doubleday and D. Mclaren and S. Chien and Y. Lou},
year = 2011,
month = {July},
booktitle = {International Joint Conference on Artificial Intelligence Workshop on Artificial Intelligence in Space (IJCAI 2011)},
address = {Barcelona, Spain},
url = {https://ai.jpl.nasa.gov/public/papers/doubleday-ijcai2011-using.pdf},
clearance = {CL\#11-2245},
project = {sensorweb}
}
Downloads: 4
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