Automated mapping of land cover using sequences of aerial imagery

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United States of America Patent

PATENT NO 8958603
APP PUB NO 20140212055A1
SERIAL NO

13835022

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Abstract

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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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Patent Owner(s)

  • REGENTS OF THE UNIVERSITY OF MINNESOTA

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Boriah, Shyam Minneapolis, US 4 29
Khandelwal, Ankush Minneapolis, US 9 42
Kumar, Vipin Plymouth, US 69 1000
Mithal, Varun Minneapolis, US 13 34
Steinhaeuser, Karsten St. Paul, US 1 19

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