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

fYear

2012

fDate

22-27 July 2012

Firstpage

5458

Lastpage

5461

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6352371

Filename

6352371