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


Creative Commons License

Boyaci M., YÜKSEL ERDEM S. E.

Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXI, Maryland, Amerika Birleşik Devletleri, 21 - 23 Nisan 2015, cilt.9472 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 9472
  • Doi Numarası: 10.1117/12.2176993
  • Basıldığı Şehir: Maryland
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Hacettepe Üniversitesi Adresli: Evet

Özet

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.