IMPROVING THE RESULT OF LIDAR DATA FILTERING ALGORITHMS USING MATHEMATICAL MORPHOLOGY

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MATKAN ALI AKBAR; HAJEB MOHAMMAD; MOHAMMADZADEH ALI; SADEGHIAN SAEID

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2014 | Volume:2 | Issue:2 Page(s): 75-90

Download Full-Text

Persian Verion

View:

857

Download:

Cites:

Information Journal Paper

Title

IMPROVING THE RESULT OF LIDAR DATA FILTERING ALGORITHMS USING MATHEMATICAL MORPHOLOGY

Author(s)

MATKAN ALI AKBAR | HAJEB MOHAMMAD | MOHAMMADZADEH ALI | SADEGHIAN SAEID | Issue Writer Certificate

Keywords

AERIAL LASER SCANNERS (LIDAR)Q2

FILTERINGQ2

SLOPE BASED FILTERING ALGORITHMQ2

MATHEMATICAL MORPHOLOGYQ2

Abstract

Today, aerial laser scanners (LiDAR) have an important role in 3D data acquisition from features. Bare earth information is very important in deferent applications such as DTM extraction, determination of traversable area, etc. Up to now, a lot of algorithms have been developed to automated FILTERING of LiDAR data. The weakness of most of these algorithms is inability to remove the large buildings. The main aim of this paper is to solve of this problem. Mathematical morphological operators were used for this purpose. First, the LiDAR data was filtered using one of the most efficient FILTERING algorithms (slope based FILTERING algorithm). Afterward, the result of FILTERING stage was improved by perform the proposed algorithm that is based on mathematical morphological operators. The result of accuracy assessment indicate a negligible increase in type I error and significant decrease in type II and total errors. Since, in FILTERING process, the type II and total errors are more important than type I error, performing this supplementary processing present very good result. Quantitative evaluation shows the output of the improved slope based algorithm with 20o slope threshold present the best result. In this case type I error increased from 4.98% to 5.27%, type II error reduced from 9.043% to 4.44% and total error decreased from 7.03% to 4.85%. Qualitative evaluation indicates the good performance of the proposed algorithm in removing the large buildings which are remained from FILTERING stage. Slope based FILTERING algorithm and Mathematical morphological operators were implemented in MATLAB software.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

MATKAN, ALI AKBAR, HAJEB, MOHAMMAD, MOHAMMADZADEH, ALI, & SADEGHIAN, SAEID. (2014). IMPROVING THE RESULT OF LIDAR DATA FILTERING ALGORITHMS USING MATHEMATICAL MORPHOLOGY. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 2(2), 75-90. SID. https://sid.ir/paper/230147/en

Vancouver: Copy

MATKAN ALI AKBAR, HAJEB MOHAMMAD, MOHAMMADZADEH ALI, SADEGHIAN SAEID. IMPROVING THE RESULT OF LIDAR DATA FILTERING ALGORITHMS USING MATHEMATICAL MORPHOLOGY. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2014;2(2):75-90. Available from: https://sid.ir/paper/230147/en

IEEE: Copy

ALI AKBAR MATKAN, MOHAMMAD HAJEB, ALI MOHAMMADZADEH, and SAEID SADEGHIAN, “IMPROVING THE RESULT OF LIDAR DATA FILTERING ALGORITHMS USING MATHEMATICAL MORPHOLOGY,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 2, no. 2, pp. 75–90, 2014, [Online]. Available: https://sid.ir/paper/230147/en

Related Journal Papers