Design and implementation of an Automatic Deep Stacked Sparsely Connected Convolutional Autoencoder (ADSSCCA) neural network for remote sensing lithological mapping using calculated dropout.
Charlie Gael Atangana OteleMathias Akong OnabidPatrick Stephane AssembePublished in: Earth Sci. Informatics (2024)
Keyphrases
- remote sensing
- neural network
- change detection
- remote sensing images
- image analysis
- remote sensing imagery
- multispectral
- image processing
- image fusion
- high spatial resolution
- hyperspectral
- automatic image registration
- satellite images
- digital image analysis
- deep learning
- remote sensing data
- computer vision
- satellite imagery
- high resolution
- sparsely connected
- hyperspectral remote sensing
- remote sensed images
- remotely sensed images
- data analysis
- earth science
- satellite data
- hyperspectral images
- multispectral images
- back propagation
- artificial neural networks