OMB Individually Reported
SpectraClass: Semi-supervised learning in a Jupyter Notebook
Low riskExact public inventory row
Description
This is a workbench supporting interactive visual data analysis of sensor data.
Detailed example
We have chosen, as a science driver for the initial stage of development, the development of innovative semi-supervised machine learning methods for landscape classification using hyperspectral imagery.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
It provides an extendable interface and toolsuite which can be used to jumpstart the development of novel methods for addressing a wide range of data analysis challenges in both the earth and space sciences.
Controls / human review
ATO: Not reported; PIA: Not published