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?

Evner: Python, Machine Learning (ML), Datasøgning, Software Arkitektur, Geospatial

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Om arbejdsgiveren:
( 0 bedømmelser ) Santa Clara, United States

Projekt ID: #27874172

11 freelancere byder i gennemsnit $174 timen for dette job


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 Flere

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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 Flere

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Dear employer! I'm an Esri certified expert in GIS and Remote sensing analysis with specialization in machine learning algorithm and multidimensional data analysis. I have developed Multiple maps index from air quality Flere

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