skip to main content
Visitante
Meu Espaço
Minha Conta
Sair
Identificação
This feature requires javascript
Tags
Revistas Eletrônicas (eJournals)
Livros Eletrônicos (eBooks)
Bases de Dados
Bibliotecas USP
Ajuda
Ajuda
Idioma:
Inglês
Espanhol
Português
This feature required javascript
This feature requires javascript
Primo Search
Busca Geral
Busca Geral
Acervo Físico
Acervo Físico
Produção Intelectual da USP
Produção USP
Search For:
Clear Search Box
Search in:
Busca Geral
Or select another collection:
Search in:
Busca Geral
Busca Avançada
Busca por Índices
This feature requires javascript
This feature requires javascript
Automatic mosaicking method for large block of orthophotos
Ai, Haibin ; Zhang, Li ; Wang, Lin
Proceedings of SPIE, the International Society for Optical Engineering, 2011, Vol.8005, p.800504-800504-8
Bellingham WA: SPIE
Sem texto completo
Citações
Citado por
Serviços
Detalhes
Resenhas & Tags
Nº de Citações
This feature requires javascript
Enviar para
Adicionar ao Meu Espaço
Remover do Meu Espaço
E-mail (máximo 30 registros por vez)
Imprimir
Link permanente
Referência
EasyBib
EndNote
RefWorks
del.icio.us
Exportar RIS
Exportar BibTeX
This feature requires javascript
Título:
Automatic mosaicking method for large block of orthophotos
Autor:
Ai, Haibin
;
Zhang, Li
;
Wang, Lin
Assuntos:
Communication, education, history, and philosophy
;
Exact sciences and technology
;
Fundamental areas of phenomenology (including applications)
;
Imaging and optical processing
;
Optics
;
Physics
;
Physics literature and publications
É parte de:
Proceedings of SPIE, the International Society for Optical Engineering, 2011, Vol.8005, p.800504-800504-8
Notas:
Conference Date: 2011-11-04|2011-11-06
Conference Location: Guilin, China
Descrição:
In order to mosaic neighboring and partly overlapping orthophotos of a scene into one large image, the paper proposes a large block orthophoto mosaicking method. In our method, seam lines firstly are delineated through overlap areas among orthophotos according to an optimal geometrical criterion. Then a network of mosaicking is built based on these delineated seam lines, and related topology information may be easily abstracted from the mosaicking network. In the second stage of our method, each seam line is optimized again by a modified snake algorithm. The algorithm makes every seam line meet the requirements of maximum color similarity of the images and maximum texture similarity. In order to searching an optimal seam line in a large overlap area as fast as possible, a hierarchical strategy is adapted. In that way, an optimized path through the overlap area is found, where the color and texture of the two images are similar. The still remaining jumps in hue and the differences in intensity and saturation have to be leveled by smooth interpolation in the vicinity of the seam line. After having processed all overlapping areas, a large block of orthophotos are automatically merged to a final large image.
Editor:
Bellingham WA: SPIE
Idioma:
Inglês
Links
View record in Pascal Francis
This feature requires javascript
This feature requires javascript
Voltar para lista de resultados
Resultado
1
Avançar
This feature requires javascript
This feature requires javascript
Buscando em bases de dados remotas. Favor aguardar.
Buscando por
em
scope:(USP_PRODUCAO),scope:(USP_EBOOKS),scope:("PRIMO"),scope:(USP),scope:(USP_EREVISTAS),scope:(USP_FISICO),primo_central_multiple_fe
Mostrar o que foi encontrado até o momento
This feature requires javascript
This feature requires javascript