iamtekson/Deep-learning-for-satellite-imagery
This repo contains the code for satellite image analysis using deep learning.
This helps urban planners, environmental analysts, and disaster response teams automatically identify features in satellite images. You input raw satellite imagery, and it outputs segmented maps highlighting buildings, land cover types (like forests or water), or landslide-affected areas. It's designed for professionals who need to quickly derive insights from large volumes of overhead imagery.
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Use this if you need to automate the detection and mapping of specific features like buildings, land use, or geological changes from satellite imagery.
Not ideal if you require real-time analysis of drone footage or other non-satellite aerial imagery, or if your primary goal is building damage assessment rather than just detection.
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Nov 29, 2021
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