Object-oriented classification for land cover of North Thang Long Industrial area using Worldview-2 data

Abstract

Land cover/land use classification using high spatial resolution remote sensing data has difficulty in distinguishing object classes from different spectral values based on structures, shapes, and spatial elements. This paper focuses on the object-orientedclassification method to extract artificial surfaces at Thang Long industrial area by Worldview-2 data with a spatial resolution of 1.8 m. Extraction of 05 types of land cover/land use using object-oriented classification method based on reflectance spectral characteristics, shape index, object location, brightness, NDVI index, and object density gained high-quality classification results. The overall accuracy of classification results for land cover/land use of Thang Long industrial area is about 0.85 andKappa index is about 0.81.