IS-COUNT: Large-scale Object Counting from Satellite Images with Covariate-based Importance Sampling.
Chenlin MengEnci LiuWillie NeiswangerJiaming SongMarshall BurkeDavid B. LobellStefano ErmonPublished in: CoRR (2021)
Keyphrases
- satellite images
- importance sampling
- monte carlo
- multispectral
- change detection
- remote sensing
- markov chain
- high resolution satellite images
- kalman filter
- high resolution
- d objects
- particle filter
- particle filtering
- multiple objects
- data sets
- neural network
- urban areas
- approximate inference
- computer vision
- three dimensional
- image processing
- posterior distribution
- object tracking
- markov chain monte carlo
- data streams
- simulated annealing