University of Minnesota

Karsten Steinhaeuser

Vipin Kumar

Ankush Khandelwal

Shyam Boriah

Varun Mithal

A system has an aerial image database containing sensor data representing a plurality of aerial images of an area having multiple sub-areas. A processor applies a classifier to the sensor values to identify a label for each sub-area in each aerial image and to thereby generate an initial label sequence for each sub-area. The processor identifies a most likely land cover state for each sub-area based on the initial label sequence, a confusion matrix and a transition matrix. For each sub-area, the processor stores the most likely land cover state sequence for the sub-area.

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Saint Paul, MN, United States of America

Karsten Steinhaeuser