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Proceedings Paper

A method based on interest operator to transform LiDAT data into grey image
Author(s): Qiao-Ji Gang; Zhang-Hui Xia
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Paper Abstract

Image analysis tools can be used to extract ground information from grey image which transformed from LiDAR point cloud. In this paper, a new algorithm based on interest value is presented to process the LiDAR data. According to this algorithm, the values of slope between each hit point pair within one grid are calculated. Then the feature point is chosen by interest value. At last, the grid elevation value is transformed into grey scale value. By utilizing the interest value, the optimal grid step can be obtained, and the principle components of point cloud slope information is reserved in grey image transformed by this algorithm. A set of LiDAR data of a tidal flat area, as a study area, are transformed into grey image by using interest value, and then edge detection and texture analysis are preformed to extract shoreline and low vegetation. Comparing with the results exported from other methods, experiments show that the algorithm based on interest value is better than the conventional methods. And it is possible that additional ground feature information such as texture information can be extracted from the interest grey image if appropriate image analysis tools are used.

Paper Details

Date Published: 7 November 2008
PDF: 8 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71471B (7 November 2008); doi: 10.1117/12.813248
Show Author Affiliations
Qiao-Ji Gang, Sun Yat-Sen Univ. (China)
Guangdong Univ. of Business Studies (China)
Zhang-Hui Xia, Guangdong Univ. of Business Studies (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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