WATERSHED SEGMENTATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE BASED ON CELLULAR NEURAL NETWORK (CNN)

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.

Kakhani n.; MOKHTARZADE M.; VALADAN ZOEJ M.J.

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

Seminar Paper

Paper Information

Seminar: NATIONAL GEOMATICS CONFERENCE
Year:2014 | Issue:21

Download Full-Text

View:

179

Download:

199

Information Seminar Paper

Title

WATERSHED SEGMENTATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE BASED ON CELLULAR NEURAL NETWORK (CNN)

Author(s)

Kakhani n. | MOKHTARZADE M. | VALADAN ZOEJ M.J. | Issue Writer Certificate

Keywords

CELLULAR NEURAL NETWORK

HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE ANALYSIS

WATERSHED SEGMENTATION

Abstract

HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE HAS BEEN NOTICED IN RECENT YEARS. SO THE NEED FOR MORE ACCURATE IMAGE PROCESSING METHODS HAS GROWN UP. AMONG THESE METHODS, IMAGE SEGMENTATION HAS A PARTICULAR IMPORTANCE. WATERSHED ALGORITHM IS ONE OF THE REGION-BASED SEGMENTATION METHODS WHICH IS USED IN MANY AREAS. BUT FACED WITH REMOTE SENSING DATA WITH UNCERTAINTY AND NOISE, IT CAUSE OVER SEGMENTATION. IN THIS WORK WE PROPOSED AN ALGORITHM FOR GENERATION OF INPUT IMAGE FOR WATERSHED TO OVERCOME THE PROBLEM. THE ALGORITHM USES CELLULAR NEURAL WORK (CNN) TO OBTAIN INPUT IMAGE.5 CROPS OF GEOEYE IMAGE HAVE BEEN SELECTED TO TEST THE ALGORITHM AND THE RESULTS SHOW THAT THE NUMBER OF PARTITIONS IS REDUCED CONSIDERABLY.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

Kakhani, n., MOKHTARZADE, M., & VALADAN ZOEJ, M.J.. (2014). WATERSHED SEGMENTATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE BASED ON CELLULAR NEURAL NETWORK (CNN). NATIONAL GEOMATICS CONFERENCE. SID. https://sid.ir/paper/947170/en

Vancouver: Copy

Kakhani n., MOKHTARZADE M., VALADAN ZOEJ M.J.. WATERSHED SEGMENTATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE BASED ON CELLULAR NEURAL NETWORK (CNN). 2014. Available from: https://sid.ir/paper/947170/en

IEEE: Copy

n. Kakhani, M. MOKHTARZADE, and M.J. VALADAN ZOEJ, “WATERSHED SEGMENTATION OF HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGE BASED ON CELLULAR NEURAL NETWORK (CNN),” presented at the NATIONAL GEOMATICS CONFERENCE. 2014, [Online]. Available: https://sid.ir/paper/947170/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops