A method based on interest operator to transform LiDAT data into grey image

Qiao-Ji Gang; Zhang-Hui Xia

doi:10.1117/12.813248

7 November 2008 A method based on interest operator to transform LiDAT data into grey image

Qiao-Ji Gang, Zhang-Hui Xia

Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 71471B (2008) https://doi.org/10.1117/12.813248
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

Qiao-Ji Gang and Zhang-Hui Xia "A method based on interest operator to transform LiDAT data into grey image", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71471B (7 November 2008); https://doi.org/10.1117/12.813248

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KEYWORDS

LIDAR

Clouds

Image analysis

Vegetation

Image processing

Tin

Buildings

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