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

Recent advances in remote sensing technology have provided (very) high spatial resolution Earth Observation data with abundant latent semantic information. Conventional data processing algorithms are not capable of extracting the latent semantic information form these data and harness their full pot...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Reza Mohammadi Asiyabi, Mihai Datcu
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2022-01-01
Serier:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fag:	Bag of visual words (BOVW) benchmark dataset data mining Earth Observation (EO) semantics Ground Truth (GT) map latent Dirichlet allocation (LDA)
Online adgang:	https://ieeexplore.ieee.org/document/9735293/
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!