Terrain feature Extraction from OLI sensor images

Subject Areas : geo

محمد ملکی ¹ (دانشگاه خوارزمی)
سید محمد توکلی صبور ² (استادیار- دانشگاه خوارزمی)

Received: 2016-12-19 Accepted : 2017-08-11 Published : 2017-08-23

Keywords: visual interpretation, OLI Sensor, Geomorphology, Kappa, Blade,

Abstract :

Terrain feature Extraction from OLI sensor images 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.