How To: Extract Roads from Satellite Imagery Using arcgis.learn
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- Опубликовано: 26 янв 2021
- Learn how to use the RoadExtraction model in arcgis.learn to extract roads from satellite imagery.
What is the arcgis.learn module?
The ArcGIS API for Python includes the arcgis.learn module that makes it simple to train a wide variety of deep learning models on your own datasets and solve complex problems. It includes over fifteen deep learning models that support advanced GIS and remote sensing workflows. Additionally, these models support a variety of data types - overhead and oriented imagery, point clouds, bathymetric data, LiDAR, video, feature layers, tabular data, and unstructured text.
Learn more about the MultiTaskRoadExtraction model: developers.arcgis.com/python/...
Learn about the deep learning models available within the arcgis.learn module: go.esri.com/l/82202/2021-01-1...
Learn more about the ArcGIS API for Python:
go.esri.com/l/82202/2021-01-1...
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Great tool for speeding up the pace of achieving successful SDG outcomes ....
Is it possible to get the model itself, from where we can download it?
Will u please explain road extraction from satellite images using maximum entropy threshold method
how to create the dataset for this tool?
please tell that can we apply this model in our own data set
How do you get the data
How to add spacenet in Arcgies
Hello, is this tool also relevant for rural road network?
Yes. It works well on rural roads as well
@@karthickdutt great.
I'll use this to extract rural roads ( which its colors very similar to the soil color at the rural road sides) and let you know how it working.
@@amitblizer4567 Hi Amit, how did it go? Im looking for a tool to extract roads from rural areas (: