Deep Learning optimization in remote sensing image segmentation using dilated convolutions and ShuffleNet.
Rahul GomesPapia RozarioNishan AdhikariPublished in: EIT (2021)
Keyphrases
- remote sensing
- deep learning
- image segmentation
- image analysis
- change detection
- multispectral
- image processing
- remote sensing images
- remote sensing imagery
- hyperspectral
- satellite images
- unsupervised learning
- high resolution
- satellite data
- multi spectral images
- automatic image registration
- machine learning
- land cover
- remote sensing data
- markov random field
- weakly supervised
- digital image analysis
- remote sensed images
- segmentation method
- graph cuts
- multiscale
- earth observation
- active contours
- segmentation algorithm
- data sets
- expectation maximization
- image classification
- dimensionality reduction
- semi supervised
- high dimensional
- feature space
- pattern recognition
- computer vision
- neural network