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Information Journal Paper

Title

TERRAIN FEATURE EXTRACTION FROM OLI SENSOR IMAGES

Author(s)

MALEKI MOHAMMAD | TAVAKKOLI SABOUR SAYED MOHAMMAD | Issue Writer Certificate 

Pages

  17-30

Abstract

 Geomorphologic features and processes related to it, is origin of many of the hazards and environmental resources. Also, due to the formation of industry and science geomorphotorism and finally be necessary of the study these features for civil projects, will be more important Cater these maps. With widespread use of geospatial sciences Such as remote sensing, geographic information systems, and its application in the study of Earth Sciences in the study of OLI SENSOR images for mapping Valley, BLADE, Alluvial Fans and Debris Fans were used. And using VISUAL INTERPRETATION features were extracted. Results were compared with images of Esri's World Imagery of ArcGIS Online, The parameters of correctness, completeness, quality and KAPPA were calculated. And the results thus obtained, the accuracy of 80 percent, overall accuracy 62.01 percent, quality 53.87 percent and KAPPA coefficient was 49.74 percent. The results showed that successfully detects all features except Debris Fans has been satisfactory. According to the KAPPA coefficient is determined that segmentation done for features extraction is appropriate.

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    APA: Copy

    MALEKI, MOHAMMAD, & TAVAKKOLI SABOUR, SAYED MOHAMMAD. (2017). TERRAIN FEATURE EXTRACTION FROM OLI SENSOR IMAGES. GEOGRAPHICAL JOURNAL OF TERRITORY, 14(54 ), 17-30. SID. https://sid.ir/paper/116310/en

    Vancouver: Copy

    MALEKI MOHAMMAD, TAVAKKOLI SABOUR SAYED MOHAMMAD. TERRAIN FEATURE EXTRACTION FROM OLI SENSOR IMAGES. GEOGRAPHICAL JOURNAL OF TERRITORY[Internet]. 2017;14(54 ):17-30. Available from: https://sid.ir/paper/116310/en

    IEEE: Copy

    MOHAMMAD MALEKI, and SAYED MOHAMMAD TAVAKKOLI SABOUR, “TERRAIN FEATURE EXTRACTION FROM OLI SENSOR IMAGES,” GEOGRAPHICAL JOURNAL OF TERRITORY, vol. 14, no. 54 , pp. 17–30, 2017, [Online]. Available: https://sid.ir/paper/116310/en

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