Title :
Detecting shadows in a segmented Land Use Land Cover image with LIDAR data
Author :
De Agirre, A. Mtz ; Malpica, J.A.
Author_Institution :
Sch. of Geodesy & Cartography, Alcala Univ., Madrid, Spain
Abstract :
Currently, updating Land Used Land Cover map databases requires a costly manual process. One of the main obstacles in trying to automate this process is the loss of spectral information in shadow areas of the aerial or high resolution satellite images. In this paper, we present a method to automate the detection of shadows in aerial images by using an nDSM built with LIDAR technology and metadata from space images. Additionally, we show that it is possible to recover the class information for these shadow regions by including this process of shadow detection in an object-oriented perspective.
Keywords :
geophysical image processing; image classification; image segmentation; meta data; object detection; optical radar; remote sensing by laser beam; spectral analysis; terrain mapping; vegetation mapping; LIDAR data; LIDAR technology; aerial image; class information; high resolution satellite image; land cover classification; land use land cover image segmentation; land used land cover map database; metadata; nDSM; object-oriented perspective; shadow area; shadow detection; shadow region; space image; spectral information; Databases; Image resolution; Image segmentation; Laser radar; Remote sensing; Satellites; Sun; Shadow detection; land cover classification; nDSM;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352371
