Improvement of Buildings Detection Based on Adaptive Thresholding in Satellite Images

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.

Sazdar A.M.; MAZLOUM J.; Shokrolahi S.M.; SHARBATI S.

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

Journal Paper

Paper Information

Journal: Advanced Defense Science and Technology Year:2018 | Volume:9 | Issue:2 Page(s): 231-242

Download Full-Text

Persian Verion

View:

590

Download:

Cites:

Information Journal Paper

Title

Improvement of Buildings Detection Based on Adaptive Thresholding in Satellite Images

Author(s)

Sazdar A.M. | MAZLOUM J. | Shokrolahi S.M. | SHARBATI S. | Issue Writer Certificate

Keywords

Satellite ImagesQ1

Building DetectionQ1

Feature ExtractionQ2

Probability Density FunctionQ1

Random VariablesQ1

Abstract

In this paper, a combined method to detect buildings from satellite imagery is presented. This method is based on combining data obtained by the local feature vectors and decision-making by applying adaptive thresholding the estimated probability distribution function, is conducted. Local Features serve as observations and location of buildings are used as joint Random Variables in order to estimate the Probability Density Function. Then the locations of buildings are determined by considering modes of estimated Probability Density Function and extracted features. To evaluate the efficiency of proposed method some satellite imagery of northern Tehran is used. Satellites North of Tehran building images are used in order to evaluate our proposed method. Tested images have different spatial contrast and resolution. Furthermore, tested buildings contain variety of characteristics which allows us representing our simulation with sufficient diversity. Experimental results of 32 different images in Tehran have shown that proposed method can be detected existing buildings in satellite imagery with fewer errors and more accurately.

Cites

No record.

References

No record.

Cite

APA: Copy

Sazdar, A.M., MAZLOUM, J., Shokrolahi, S.M., & SHARBATI, S.. (2018). Improvement of Buildings Detection Based on Adaptive Thresholding in Satellite Images. (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY, 9(2 ), 231-242. SID. https://sid.ir/paper/167437/en

Vancouver: Copy

Sazdar A.M., MAZLOUM J., Shokrolahi S.M., SHARBATI S.. Improvement of Buildings Detection Based on Adaptive Thresholding in Satellite Images. (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY[Internet]. 2018;9(2 ):231-242. Available from: https://sid.ir/paper/167437/en

IEEE: Copy

A.M. Sazdar, J. MAZLOUM, S.M. Shokrolahi, and S. SHARBATI, “Improvement of Buildings Detection Based on Adaptive Thresholding in Satellite Images,” (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY, vol. 9, no. 2 , pp. 231–242, 2018, [Online]. Available: https://sid.ir/paper/167437/en

Related Journal Papers