شماره ركورد كنفرانس :
4459
عنوان مقاله :
Determining Environmental Characteristics in Qaemshahr District, Iran Using ASTER Satellite Image
پديدآورندگان :
Rokni Komeil Gonbad Kavous University
تعداد صفحه :
5
كليدواژه :
support vector machine , land cover mapping , ASTER
سال انتشار :
1397
عنوان كنفرانس :
سومين همايش ملي و اولين همايش بين المللي مديريت پايدار منابع خاك و محيط زيست
زبان مدرك :
انگليسي
چكيده فارسي :
In this study, support vector machine (SVM) technique was applied to provide a land cover map of Qaemshahr district, Iran. The Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) imagery was used for this purpose. Accuracy of the resulting map was assessed by calculating the user, Producer, and overall accuracies and the kappa coefficient. The results show that an overall accuracy and kappa values of about 94.91% and 0.94 is achieved for the SVM map. In conclusion, the SVM technique could provide a reliable result for land cover mapping in the study area. Therefore, the output map can be used in many applications in which land cover map is an ancillary or primary data source.
كشور :
ايران
لينک به اين مدرک :
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