Locating the Shadow Regions in LiDAR Data: Results on the SHARE 2012 Dataset

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Boyaci M., YÜKSEL ERDEM S. E.

Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, Maryland, United States Of America, 21 - 23 April 2015, vol.9472, (Full Text)

• Publication Type: Conference Paper / Full Text
• Volume: 9472
• Doi Number: 10.1117/12.2176993
• City: Maryland
• Country: United States Of America
• Open Archive Collection: AVESIS Open Access Collection
• Hacettepe University Affiliated: Yes

Abstract

In hyperspectral imaging, shadowy areas present a major problem as targets in shadow show decreased or no spectral signatures. One way to mitigate this problem is by the fusion of hyperspectral data with LiDAR data; since LiDAR data presents excellent information by providing elevation information, which can then be used to identify the regions of shadow. Although there is a lot of work to detect the shadowy areas, many are restricted to distinct platforms like ARGCIS, ENVI etc.