Classification of urban remotely sensed (satellite/aireal) images

I need to do a CODE for the first stage of my project which is using remotely sensed images for automatic classification of urban materials (WITHOUT using any commercial software such as arcGIS, ...) to distinguish land-cover objects (e.g. buildings, parking lots, roads, soil, grass, and water basins). The idea is using more than one classification method (such as Object-based Image Analysis, Knowledge-based method, Convolutional Neural Network, ...). Then make a comparison among them (as a table) to find which one is more accurecy. This is the first stage of my project which I need it it for now.

Skills: Artificial Intelligence, Data Processing, Imaging, Machine Learning, Remote Sensing

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About the Employer:
( 2 reviews ) St. Davids Hill, United Kingdom

Project ID: #11807833

7 freelancers are bidding on average $625 for this job


Hello, You can see my last project which are based on Machine Learning and I can complete your project perfectly. We have 9+ years experience in Java software development. We have successfully developed 400+ proj More

$500 USD in 10 days
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Looking forward to support you with this project. You can add me on skype, if you have any questions. [login to view URL]@skype. best regards, Joerg.

$499 USD in 10 days
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Hi, I would like to offer you my services. My main areas of expertise are image processing and genetic algorithms, but I've done it all. I work on each of my projects without any time limit from my side 8 hours a da More

$500 USD in 20 days
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Hi, I have 5+ years of experience as a Software developer. I have prior working experience on images classification using different approaches as well as object detections in images. you can go through the url(http: More

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$1000 USD in 3 days
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Greetings Esteemed client!! I am a highly experienced freelancer and available to discuss further on the project details and my approach to complete this high quality work by incorporating all the instructions provide More

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