A NOVEL METHOD FOR AUTOMATION OF 3D HYDRO BREAK LINE GENERATION FROM LIDAR DATA USING MATLAB
Water body detection is necessary to generate hydro break lines, which are in turn useful in creating deliverables such as TINs, contours, DEMs from LiDAR data. Hydro flattening follows the detection and delineation of water bodies (lakes, rivers, ponds, reservoirs, streams etc.) with hydro break li...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2013-08-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W2/99/2013/isprsarchives-XL-2-W2-99-2013.pdf |
Summary: | Water body detection is necessary to generate hydro break lines, which are in turn useful in creating deliverables such as TINs,
contours, DEMs from LiDAR data. Hydro flattening follows the detection and delineation of water bodies (lakes, rivers, ponds,
reservoirs, streams etc.) with hydro break lines. Manual hydro break line generation is time consuming and expensive. Accuracy and
processing time depend on the number of vertices marked for delineation of break lines. Automation with minimal human
intervention is desired for this operation. This paper proposes using a novel histogram analysis of LiDAR elevation data and LiDAR
intensity data to automatically detect water bodies. Detection of water bodies using elevation information was verified by checking
against LiDAR intensity data since the spectral reflectance of water bodies is very small compared with that of land and vegetation in
near infra-red wavelength range. Detection of water bodies using LiDAR intensity data was also verified by checking against LiDAR
elevation data. False detections were removed using morphological operations and 3D break lines were generated. Finally, a
comparison of automatically generated break lines with their semi-automated/manual counterparts was performed to assess the
accuracy of the proposed method and the results were discussed. |
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ISSN: | 1682-1750 2194-9034 |