Sparsity-constrained probabilistic latent semantic analysis for land cover classification.
Jun ShiXilan TianZhiguo JiangDanpei ZhaoMing LuPublished in: IGARSS (2016)
Keyphrases
- probabilistic latent semantic analysis
- land cover classification
- multispectral
- co occurrence
- supervised classification
- visual features
- remote sensing data
- probabilistic model
- land cover
- remote sensing
- latent dirichlet allocation
- latent semantic analysis
- topic models
- hyperspectral
- scene classification
- negative matrix factorization
- latent variables
- em algorithm
- topic modeling
- expectation maximization
- remote sensing imagery
- high dimensional
- sparse representation
- high spatial resolution
- satellite data
- remote sensing images
- latent topics
- high resolution
- information retrieval
- feature extraction
- semantic similarity
- image processing