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

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

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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

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Title: Change detection of isolated housing using a new hybrid approach based on object classification with optical and TerraSAR-X data
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Issued date:
Abstract:
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 ...[+]
Subjects: 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
Copyrigths: Reserva de todos los derechos
Source:
International Journal of Remote Sensing. (issn: 0143-1161 ) (eissn: 1366-5901 )
DOI: 10.1080/01431161.2011.571297
Publisher:
Taylor & Francis (Routledge): STM, Behavioural Science and Public Health Titles
Publisher version: http://dx.doi.org/10.1080/01431161.2011.571297
Type: Artículo

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