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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?

Compétences : Python, Machine Learning (ML), Exploitation de Données, Architecture Logicielle, Géospatial

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Concernant l'employeur :
( 0 commentaires ) Santa Clara, United States

Nº du projet : #27874172

11 freelances font une offre moyenne de 174 $ pour ce travail

schoudhary1553

Hi, Greetings! ✅checked your project details: Object Classification/Detection for High resolution satellite images, using Google Earth Engine or Python (Tensorflow). ✅Completed Time: In project deadline We have Plus

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4.8
viduWEBmaster

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sajjadtaghvaeifr

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3.4
Ceciliapoclava

Hello. My name is Cecilia and I have the experience that you need for finish your project I work with different GIS's tools and remote sensing for 15 years. And with Google Earth Engine for 3 years ago Please, for any Plus

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iamshobhitag

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sparxsols11

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alaminabdo53

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Fingertipinfo

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kjdave27

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dinusamith

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