BUILDING DETECTION FROM LIDAR AND OPTICAL DATA USING SUPPORT VECTOR MACHINE IN PIXEL-BASED AND OBJECT-BASED ANALYSIS PRINT

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.

MANSOURIFAR N.; MOHAMMADZADEH A.; MOKHTARZADEH M.; VALADAN ZOEJ M.J.

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

Journal Paper

Paper Information

Journal: JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY Year:2014 | Volume:4 | Issue:2 Page(s): 189-201

Download Full-Text

Persian Verion

View:

854

Download:

Cites:

Information Journal Paper

Title

BUILDING DETECTION FROM LIDAR AND OPTICAL DATA USING SUPPORT VECTOR MACHINE IN PIXEL-BASED AND OBJECT-BASED ANALYSIS PRINT

Author(s)

MANSOURIFAR N. | MOHAMMADZADEH A. | MOKHTARZADEH M. | VALADAN ZOEJ M.J. | Issue Writer Certificate

Keywords

BUILDING DETECTIONQ2

LIDAR DATAQ2

OBJECT BASEDQ2

PIXEL BASEDQ2

SUPPORT VECTOR MACHINEQ1

Abstract

BUILDING DETECTION from areal and satellite images is an active discussion in remote sensing and machine vision in recent years. Urban areas usually are dense and consist of complex components such as compact tree areas and buildings with gable roof and glassy parts. Classification algorithms which are applied to these kinds of data sets will be faced many problems. In this paper to deal with the aforementioned problems, the OBJECT BASED features; height and etc. have been investigated for classification by the use of SUPPORT VECTOR MACHINE in the OBJECT BASED and PIXEL BASED analysis. It should be noted that PIXEL BASED analysis performed in two different states with features which are extracted from aerial imagery and LIDAR DATA. The proposed method consists of three general steps; the first step is data preparation and features extraction. The second step is classification by the use of SUPPORT VECTOR MACHINE in OBJECT BASED and PIXEL BASED analysis; In the third step, post processing is applied then results of classifications are compared and evaluated with ground truth data. In this study the final goal is to achieve optimized algorithm using various features. with comparison of Kappa coefficient in three classifications; 0.97 in OBJECT BASED analysis, 0.88 in first state of PIXEL BASED analysis and 0.97 in second state of PIXEL BASED analysis, it is obvious OBJECT BASED analysis achieved the best result due to using features such as shape and structure. More over using LIDAR DATA in second state of PIXEL BASED analysis increased the accuracy of PIXEL BASED classification.

Cites

No record.

References

No record.

Cite

APA: Copy

MANSOURIFAR, N., MOHAMMADZADEH, A., MOKHTARZADEH, M., & VALADAN ZOEJ, M.J.. (2014). BUILDING DETECTION FROM LIDAR AND OPTICAL DATA USING SUPPORT VECTOR MACHINE IN PIXEL-BASED AND OBJECT-BASED ANALYSIS PRINT. JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY, 4(2), 189-201. SID. https://sid.ir/paper/249278/en

Vancouver: Copy

MANSOURIFAR N., MOHAMMADZADEH A., MOKHTARZADEH M., VALADAN ZOEJ M.J.. BUILDING DETECTION FROM LIDAR AND OPTICAL DATA USING SUPPORT VECTOR MACHINE IN PIXEL-BASED AND OBJECT-BASED ANALYSIS PRINT. JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY[Internet]. 2014;4(2):189-201. Available from: https://sid.ir/paper/249278/en

IEEE: Copy

N. MANSOURIFAR, A. MOHAMMADZADEH, M. MOKHTARZADEH, and M.J. VALADAN ZOEJ, “BUILDING DETECTION FROM LIDAR AND OPTICAL DATA USING SUPPORT VECTOR MACHINE IN PIXEL-BASED AND OBJECT-BASED ANALYSIS PRINT,” JOURNAL OF GEOMATICS SCIENCE AND TECHNOLOGY, vol. 4, no. 2, pp. 189–201, 2014, [Online]. Available: https://sid.ir/paper/249278/en

Related Journal Papers