- -

Change detection of isolated housing using a new hybrid approach based on object classification with optical and TerraSAR-X data

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

Change detection of isolated housing using a new hybrid approach based on object classification with optical and TerraSAR-X data

Mostrar el registro completo del ítem

Vidal Pantaleoni, A.; Moreno Cambroreno, MDR. (2011). Change detection of isolated housing using a new hybrid approach based on object classification with optical and TerraSAR-X data. International Journal of Remote Sensing. 32(24):9621-9635. doi:10.1080/01431161.2011.571297

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/56993

Ficheros en el ítem

Metadatos del ítem

Título: Change detection of isolated housing using a new hybrid approach based on object classification with optical and TerraSAR-X data
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Fecha difusión:
Resumen:
Optical and microwave high spatial resolution images are now available for a wide range of applications. In this work, they have been applied for the semi-automatic change detection of isolated housing in agricultural ...[+]
Palabras clave: Agricultural areas , Change detection , Classification process , High resolution image , High spatial resolution images , Hybrid approach , Hybrid methodologies , Image differencing , Isolated buildings , Lower complexity , Object classification , Optical data , Radar data , Segmentation process , Semi-automatics , Techniques used , TerraSAR-X , Housing , Image segmentation , Signal detection , Synthetic aperture radar , Agricultural land , Building , Complexity , Detection method , Housing market , Microwave imagery , Satellite imagery , Spatial resolution
Derechos de uso: Reserva de todos los derechos
Fuente:
International Journal of Remote Sensing. (issn: 0143-1161 ) (eissn: 1366-5901 )
DOI: 10.1080/01431161.2011.571297
Editorial:
Taylor & Francis (Routledge): STM, Behavioural Science and Public Health Titles
Versión del editor: http://dx.doi.org/10.1080/01431161.2011.571297
Tipo: Artículo

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem