Image-based classification of GPS noise level using convolutional neural networks for accurate distance estimation.
James MurphyYuanyuan PaoAsif HaquePublished in: GeoAI@SIGSPATIAL (2017)
Keyphrases
- noise level
- distance estimation
- convolutional neural networks
- pattern recognition
- noisy images
- machine learning
- noise reduction
- high quality
- noise estimation
- support vector
- feature space
- image classification
- computer vision
- feature vectors
- similarity measure
- feature selection
- data sets
- object recognition
- image data
- cross validation
- signal to noise ratio
- database systems