Title :
The object-oriented geospatial features extraction and results evaluation from high resolution remote sensing imagery
Author :
Yao, Guohong ; Zhang, Jin ; Wang, Li
Author_Institution :
Inst. of Geodesy & Geophys., Wuhan, China
Abstract :
Detecting the spatial objects is an important research agenda for geospatial information science. Appling object-oriented image classification to extract GIS features, which fulfills the needs of updating the geospatial databases with remote sensing imagery will greatly enhance the ongoing digital city construction and national condition monitoring. This paper describes the key technology for high spatial resolution image feature extraction. Utilizing object-oriented feature extraction and classification with ADS40 aerial imagery, various surface features are obtained satisfactorily.
Keywords :
feature extraction; geographic information systems; geophysical image processing; image classification; image resolution; object detection; object-oriented methods; remote sensing; town and country planning; visual databases; ADS40 aerial imagery; GIS feature extraction; digital city construction; geospatial databases; geospatial information science; high resolution remote sensing imagery; high spatial resolution image feature extraction; national condition monitoring; object-oriented geospatial features extraction; object-oriented image classification; spatial object detection; surface features; Accuracy; Buildings; Feature extraction; Image segmentation; Remote sensing; Roads; Spatial resolution;
Conference_Titel :
Information Science and Technology (ICIST), 2012 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-4577-0343-0
DOI :
10.1109/ICIST.2012.6221646
