COMBINATION OF CONTEXTUAL INFORMATION AND OPTIMAL TEXTURE FEATURES FOR IMPROVING THE ACCURACY OF SAR IMAGE CLASSIFICATION

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Omati Mehrnoosh; Sahebi Mahmod Reza

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

Seminar Paper

Paper Information

Seminar: NATIONAL CONFERENCE ON GEOSPATIAL INFORMATION TECHNOLOGY (NCGIT)
Year:2017 | Issue:2

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Title

COMBINATION OF CONTEXTUAL INFORMATION AND OPTIMAL TEXTURE FEATURES FOR IMPROVING THE ACCURACY OF SAR IMAGE CLASSIFICATION

Author(s)

Omati Mehrnoosh | Sahebi Mahmod Reza | Issue Writer Certificate

Keywords

SYNTHETIC APERTURE RADAR (SAR)

MARKOV RANDOM FIELD (MRF)

TEXTURE FEATURES

SUPPORT VECTOR MACHINE (SVM)

Abstract

THIS PAPER EMPLOYS THE FULL ADVANTAGES OF CONTEXTUAL INFORMATION AND OPTIMAL TEXTURE FEATURES FOR IMPROVING THE ACCURACY OF PIXEL-BASED CLASSIFICATION. IN THE PROPOSED NOVEL CLASSIFICATION METHOD, FIRST, OPTIMAL TEXTURE FEATURES ARE SELECTED BASED ON THE GENETIC ALGORITHM (GA) AND JEFFRIES-MATUSITA (JM) DISTANCE CRITERION. SECOND, THE SELECTED TEXTURE FEATURES ARE COMBINED WITH BACKSCATTERING SAR DATA, AND A SUPPORT VECTOR MACHINE (SVM) PIXEL-BASED CLASSIFICATION IS DONE. FINALLY, INTEGRATION OF GAUSSIAN MARKOV RANDOM FIELD (MRF) MODEL WITH SVM CLASSIFIER OBTAINS FINAL CLASSIFICATION MAP. COMPARISON OF THE PROPOSED METHOD WITH PIXEL-BASED CLASSIFICATION SHOWS A 13.77% IMPROVEMENT IN OVERALL CLASSIFICATION ACCURACY OF TERRASAR-X IMAGES.

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APA: Copy

Omati, Mehrnoosh, & Sahebi, Mahmod Reza. (2017). COMBINATION OF CONTEXTUAL INFORMATION AND OPTIMAL TEXTURE FEATURES FOR IMPROVING THE ACCURACY OF SAR IMAGE CLASSIFICATION. NATIONAL CONFERENCE ON GEOSPATIAL INFORMATION TECHNOLOGY (NCGIT). SID. https://sid.ir/paper/922596/en

Vancouver: Copy

Omati Mehrnoosh, Sahebi Mahmod Reza. COMBINATION OF CONTEXTUAL INFORMATION AND OPTIMAL TEXTURE FEATURES FOR IMPROVING THE ACCURACY OF SAR IMAGE CLASSIFICATION. 2017. Available from: https://sid.ir/paper/922596/en

IEEE: Copy

Mehrnoosh Omati, and Mahmod Reza Sahebi, “COMBINATION OF CONTEXTUAL INFORMATION AND OPTIMAL TEXTURE FEATURES FOR IMPROVING THE ACCURACY OF SAR IMAGE CLASSIFICATION,” presented at the NATIONAL CONFERENCE ON GEOSPATIAL INFORMATION TECHNOLOGY (NCGIT). 2017, [Online]. Available: https://sid.ir/paper/922596/en

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