Multiclassification of objects in cloudy environments

Oliver G. Campos Trujillo, Francisco J. Ramirez Arias, Victor H. Diaz-Ramirez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

A two-step procedure for the reliable recognition and multiclassication of objects in cloudy environments is proposed. The input scene is preprocessed with the help of an iterative algorithm to remove the effects of the cloudy environment, followed by a complex correlation filtering for the multiclassication of target objects. The iterative algorithm is based on a local heuristic search inside a moving window using a nonlinear signal model for the input scene. The preprocessed scene is correlated with a multiclass correlation filter based in complex synthetic discriminant functions. Computer simulation results obtained with the proposed approach in cloudy images are presented and discussed in terms of different performance metrics.

Idioma originalInglés
Título de la publicación alojadaApplications of Digital Image Processing XXXIV
DOI
EstadoPublicada - 2011
Publicado de forma externa
EventoApplications of Digital Image Processing XXXIV - San Diego, CA, Estados Unidos
Duración: 22 ago. 201124 ago. 2011

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen8185
ISSN (versión impresa)0277-786X

Conferencia

ConferenciaApplications of Digital Image Processing XXXIV
País/TerritorioEstados Unidos
CiudadSan Diego, CA
Período22/08/1124/08/11

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