Drone & Satellite AI for Mapping and GIS
Project Details
Within this task we needed to get actual information from photos about geo-located objects like buildings, rivers, lakes, roads, forests, fields and place it on a generated map.
The task also included the roofs layout classification and recognition.
We utilized state-of-the-art and our own technologies based on computer vision, object detection, image segmentation and image processing to bring AI into this field. Our solution is a part of big pipeline that can do the following:
- detect objects;
- determine its types and geometry on images from drones or satellites;
- recognize buildings and their geometry, including roofs layout, building type,its height and size;
- recognize roads, lakes, rivers, and put them on the map;
- analyze forests configuration,
- detect changes over time by comparing them with previous observations.
Project Crew
Backend Development
Project links
Technologies
AI
ML
TensorFlow
pytorch
scikit-learn
darknet
keras
numpy
OpenCV
jupyter
google colab
Pandas
scipy
NLTK
matplotlib
pillow
seaborn
OpenVINO
MATLAB
fastai
Building
drone photos
object detection
forest configuration
detect changes
satellite imagery