Earth Observation Semantic Data Mining: Latent Dirichlet Allocation-Based Approach

Author:

Asiyabi Reza Mohammadi1ORCID,Datcu Mihai2ORCID

Affiliation:

1. Center for Spatial Information, University POLITEHNICA of Bucharest, Bucuresti, Romania

2. German Aerospace Center (DLR), Remote Sensing Technology Institute, EO Data Science, Oberpfaffenhofen, Weßling, Germany

Funder

H2020 Marie Skodowska-Curie Actions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Reference48 articles.

1. SNAP—ESA Sentinel application platform v8.0,2020

2. Sentinel-1 System capabilities and applications

3. A probabilistic approach to semantic representation;griffiths;Proc 24th Annu Conf Cogn Sci Soc,2002

4. Earth Observation Image Semantics: Latent Dirichlet Allocation Based Information Discovery

5. A Comparative Study of Bag-of-Words and Bag-of-Topics Models of EO Image Patches

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