NDLI: Atmospheric and shadow compensation of hyperspectral imagery using voxelized LiDAR

Content Provider	IEEE Xplore Digital Library
Author	Hagstrom, S. Broadwater, J.
Copyright Year	2015
Description	Author affiliation: Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA (Hagstrom, S.; Broadwater, J.)
Abstract	Hyperspectral images have become more prevalent and accessible in recent years. Many of the processes which take advantage of hyperspectral imagery rely on the generation of a reflectance product in order to compare with spectral signatures, and numerous methods have been developed to perform this process. However, per-pixel illumination effects are typically not accounted for because the necessary geometric parameters are not available in a 2D image. LIDAR can be used to derive the needed geometric terms to compensate the image for illumination differences and shadows, and this paper demonstrates how the use of voxel 3D modeling can make this process more accurate. We apply our methods to data from the publicly available SHARE 2012 dataset, and show how target detection can be improved by using illumination-compensated reflectance.
Starting Page	2959
Ending Page	2962
File Size	1962816
Page Count	4
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7326436
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lighting Laser radar Hyperspectral imaging Three-dimensional displays Geometry Sun Hyperspectral Shadow Compensation Voxel LIDAR
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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