Satellite_Imagery_Analysis and DL-for-satellite-image-analysis
About Satellite_Imagery_Analysis
syamkakarla98/Satellite_Imagery_Analysis
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
This project helps environmental scientists, urban planners, or agricultural managers extract meaningful information from satellite images. By analyzing these images, you can identify patterns and changes on Earth's surface, turning raw satellite data into actionable insights about land use, crop health, or urban growth.
About DL-for-satellite-image-analysis
gicait/DL-for-satellite-image-analysis
This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing).
This collection of tutorials helps geospatial analysts and remote sensing specialists learn how to apply deep learning to satellite imagery. It takes satellite images and other geospatial data as input, guiding you through the process to produce maps for building identification and land cover classification. The examples are designed for individuals who work with satellite data and want to enhance their image analysis capabilities using advanced machine learning techniques.
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