Noisy Supervised Deep Learning for Remote Sensing Image Segmentation Using Electronic Maps.
Qing ZhangShulin PanFan MinYinghe WuZilin ZhangHaoran LuoPublished in: IEEE Geosci. Remote. Sens. Lett. (2023)
Keyphrases
- remote sensing
- deep learning
- image segmentation
- unsupervised learning
- image analysis
- weakly supervised
- image processing
- multispectral
- machine learning
- change detection
- remote sensing images
- remote sensing imagery
- supervised classification
- supervised learning
- remote sensing data
- high resolution
- land cover
- hyperspectral
- satellite data
- expectation maximization
- satellite images
- semi supervised
- high spatial resolution
- mental models
- segmentation algorithm
- graph cuts
- computer vision
- learning algorithm
- markov random field
- feature selection
- multiscale
- remote sensed images
- automatic image registration
- deformable models
- superpixels
- online learning
- earth observation
- object segmentation
- shape prior
- segmentation method
- neural network
- object recognition
- reinforcement learning
- denoising
- high quality
- training data
- feature extraction
- face recognition
- principal component analysis
- dimensionality reduction
- image classification