NDLI: Automatic Building Detection Using LIDAR Data and Multispectral Imagery

Content Provider	IEEE Xplore Digital Library
Author	Awrangjeb, M. Ravanbakhsh, M. Fraser, C.S.
Copyright Year	2010
Abstract	An automatic building detection technique using LIDAR data and multispectral imagery has been proposed. Two masks are obtained from the LIDAR data: a `primary building mask' and a `secondary building mask'. The primary building mask indicates the void areas where the laser does not reach below a certain height threshold. The secondary building mask indicates the filled areas, from where the laser reflects, above the same threshold. Line segments are extracted from around the void areas in the primary building mask. Line segments around trees are removed using the normalized difference vegetation index derived from the orthorectified multispectral images. The initial building positions are obtained based on the remaining line segments. The complete buildings are detected from their initial positions using the two masks and multispectral images in the YIQ colour system. It is experimentally shown that the proposed technique can successfully detect buildings, when assessed in terms of 15 indices including completeness, correctness and quality.
Starting Page	45
Ending Page	51
File Size	1710322
Page Count	7
File Format	PDF
ISBN	9781424488162
DOI	10.1109/DICTA.2010.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Laser radar Accuracy Image color analysis Image edge detection Buildings orthoimage LIDAR data YIQ colour Building detection Fusion Pixel
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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