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Object Classification/Detection for High resolution satellite images, using Google Earth Engine or Python (Tensorflow).

I'm using Google Earth Engine to map Center-pivot Irrigation using Satellite data. My dataset consists of spectral data (reflectance data like visible, near infrared etc..), but that can only help differentiate soil from vegetation. I extracted some spatial attributes (area, diameter,.., elliptical fit) to help me map circular shapes, but I'm having trouble with that a little and need your guidance with that. What I did so far is a pixel based classification using spectral input, but that is not enough as we need the spatial/physical attribute here. can you please help me with that?

Skills: Python, Machine Learning (ML), Data Mining, Software Architecture, Geospatial

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About the Employer:
( 0 reviews ) Santa Clara, United States

Project ID: #27874172

11 freelancers are bidding on average $174 for this job

schoudhary1553

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Ceciliapoclava

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