科技报告详细信息
End-To-End Machine Learning Applications Framework for Earth Science | |
Freitag, Brian ; Acharya, A ; Ramasubramanian, M ; Bollinger, D ; Kaulfus, A ; Gurung, I ; Maskey, M ; Ramachandran, R | |
关键词: COST EFFECTIVENESS; DATA BASES; DATA STORAGE; DUST; EARTH SCIENCES; EOS DATA AND INFORMATION SYSTEM; IMAGE CLASSIFICATION; IMAGING SPECTROMETERS; MACHINE LEARNING; MODIS (RADIOMETRY); PARSING ALGORITHMS; REAL TIME OPERATION; | |
RP-ID : MSFC-E-DAA-TN74077 | |
学科分类:地球科学(综合) | |
美国|英语 | |
来源: NASA Technical Reports Server | |
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20190032066.pdf | 3200KB | download |