A Semi-Automated Approach For Identifying And Classifying Urban Distressed And Modern Area Based On Spectral And Spatial Patterns In Object-Oriented Remote Sensing: A Case Study Area Isfahan City

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.

FEIZIZADEH BAKHTIAR; Kazemi Salehe; Sharafi Samira

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

Journal Paper

Paper Information

Journal: Human Geography Research Year:2018 | Volume:50 | Issue:3 Page(s): 661-678

Download Full-Text

Persian Verion

View:

550

Download:

Cites:

Information Journal Paper

Title

A Semi-Automated Approach For Identifying And Classifying Urban Distressed And Modern Area Based On Spectral And Spatial Patterns In Object-Oriented Remote Sensing: A Case Study Area Isfahan City

Author(s)

FEIZIZADEH BAKHTIAR | Kazemi Salehe | Sharafi Samira | Issue Writer Certificate

Keywords

Urban Texture PatternsQ1

Spatial And Spectral AlgorithmsQ1

Object-Based Image AnalysisQ1

Isfahan CityQ2

SegmentationQ1

Abstract

Introduction: Developing of urban neighborhoods in line with the growth and expansion of the city and population growth has undergone many changes in time pass. Such change is more visible in cities environment with historical background. Thus, it can be seen well the difference between the traditional neighborhoods that no plan have been formed and after the formation, planning was done for them with new neighborhoods which were created and formed by plan.

Cites

No record.

References

No record.

Cite

APA: Copy

FEIZIZADEH, BAKHTIAR, Kazemi, Salehe, & Sharafi, Samira. (2018). A Semi-Automated Approach For Identifying And Classifying Urban Distressed And Modern Area Based On Spectral And Spatial Patterns In Object-Oriented Remote Sensing: A Case Study Area Isfahan City. HUMAN GEOGRAPHY RESEARCH QUARTERLY, 50(3 ), 661-678. SID. https://sid.ir/paper/139060/en

Vancouver: Copy

FEIZIZADEH BAKHTIAR, Kazemi Salehe, Sharafi Samira. A Semi-Automated Approach For Identifying And Classifying Urban Distressed And Modern Area Based On Spectral And Spatial Patterns In Object-Oriented Remote Sensing: A Case Study Area Isfahan City. HUMAN GEOGRAPHY RESEARCH QUARTERLY[Internet]. 2018;50(3 ):661-678. Available from: https://sid.ir/paper/139060/en

IEEE: Copy

BAKHTIAR FEIZIZADEH, Salehe Kazemi, and Samira Sharafi, “A Semi-Automated Approach For Identifying And Classifying Urban Distressed And Modern Area Based On Spectral And Spatial Patterns In Object-Oriented Remote Sensing: A Case Study Area Isfahan City,” HUMAN GEOGRAPHY RESEARCH QUARTERLY, vol. 50, no. 3 , pp. 661–678, 2018, [Online]. Available: https://sid.ir/paper/139060/en

Related Journal Papers