Satellite Image Classification using CNN
The Satellite Image Analysis Project harnesses the capabilities of neural networks to analyze and interpret satellite imagery for various applications. This application includes tasks such as land cover classification, environmental monitoring, and disaster response. Neural networks enhance the accuracy and speed of image analysis, providing valuable insights for scientific research, urban planning, and environmental conservation. The integration of neural networks in satellite image analysis contributes to advancements in remote sensing technology and data-driven decision-making.
Satellite Image Classification method using CNN
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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