Performance Analysis of Deep Convolutional Autoencoders with Different Patch Sizes for Change Detection from Burnt Areas.
Pablo Pozzobon de BemOsmar Abílio de Carvalho JúniorOsmar Luiz Ferreira de Carvalho Jr.Roberto Arnaldo Trancoso GomesRenato Fontes GuimarãesPublished in: Remote. Sens. (2020)
Keyphrases
- change detection
- deep belief networks
- deep learning
- remote sensing images
- remote sensing
- remotely sensed images
- remote sensing imagery
- data streams
- remotely sensed
- satellite images
- satellite imagery
- image registration
- denoising
- restricted boltzmann machine
- gamma distributions
- shot change detection
- urban areas
- image patches
- unsupervised learning
- hierarchical models
- frame difference
- man made structures
- land cover change
- sparse coding
- computer vision