A new approach to segmentation of remote sensing images with hidden markov models

In this work, we present a new segmentation algorithm for remote sensing images based on two-dimensional Hidden Markov Models (2D-HMM). In contrast to most 2D-HMM approaches, we do not use Viterbi Training, instead we propose to propagate the state probabilities through the image. Therefore, we deno...

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Detalles Bibliográficos
Autores principales: Baumgartner, Josef, Scavuzzo, Marcelo, Rodríguez Rivero, Cristian, Pucheta, Julián
Formato: conferenceObject
Lenguaje:Inglés
Publicado: 2022
Materias:
Algorithm
2D-HMM
Complete Enumeration Propagation
Path Constrained Viterbi Training
Acceso en línea:http://hdl.handle.net/11086/29331
Aporte de:
Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba

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