DocumentCode :
2829048
Title :
Classification of urban features from Intergraph´s Z/I Imaging DMC high resolution images for integration into a change detection flowline within Ordnance Survey
Author :
Sanchez, Cesar ; Gladstone, Catherine ; Holland, David
Author_Institution :
Res. Labs., Ordnance Survey, Southampton
fYear :
2007
fDate :
11-13 April 2007
Firstpage :
1
Lastpage :
8
Abstract :
In 2005 ordnance survey, Britain´s national mapping agency, acquired a new digital aerial camera - the integraph Z/I imaging digital mapping camera (DMC). The high spatial resolution of the DMC makes it especially suitable for classification-based feature extraction. Also, the DMC provides near infrared (NIR) digital imagery, a type of information that has never before been used by ordnance survey. These characteristics make the DMC a potentially useful tool for the automatic extraction of vegetated features and the detection of man-made features in urban areas. This image classification process is considered to be a very important step as it constitutes the basis for a future automatic (or semi-automatic) change detection method which could ultimately be integrated within the OS production flowline.
Keywords :
cameras; feature extraction; geophysical signal processing; image classification; vegetation mapping; AD 2005; Britain National Mapping Agency; Intergraph Z/I imaging DMC; automatic vegetated feature extraction; change detection flowline; change detection method; classification based feature extraction; digital aerial camera; digital mapping camera; high resolution images; image classification process; man made feature detection; near infrared digital imagery; ordnance survey; urban areas; urban feature classification; Computer vision; Data mining; Digital cameras; Digital images; Feature extraction; High-resolution imaging; Image resolution; Infrared imaging; Optical imaging; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Urban Remote Sensing Joint Event, 2007
Conference_Location :
Paris
Print_ISBN :
1-4244-0711-7
Electronic_ISBN :
1-4244-0712-5
Type :
conf
DOI :
10.1109/URS.2007.371798
Filename :
4234397
Link To Document :
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