Object-based city land cover classification and change analysis with multi-temporal high resolution remote sensing images in Jiangyin

Author

Ning Xiaogang ; Zhang Jixian ; Chen Zhiyong

Author_Institution

Institue of Photogrammety & Remote Sensing, Chinese Acad. of Surverying & Mapping, Beijing, China

fYear

2013

fDate

21-23 April 2013

Firstpage

107

Lastpage

110

Abstract

Based on the high resolution remote sensing data acquired in 2003 and 2010 of Jiangyin city, which is one of the cities developed at top speed of China, the land cover of this area was classified and analyzed in this paper. With the object-based and multi-scale classification method, the information of city land cover was extracted. Meanwhile, the change of quantity and spatial structures at the area of Jiangyin city was analyzed, which provided thoughts and bases for city development, environment protection, and the ecological construction of the Jiangyin.

Keywords

feature extraction; geophysical image processing; image classification; object detection; remote sensing; terrain mapping; AD 2003; AD 2010; China; Jiangyin City; Jiangyin ecological construction; city development; environment protection; high resolution remote sensing data; multiscale classification method; multitemporal high resolution remote sensing images; object-based city land cover classification; object-based classification method; Accuracy; Buildings; Cities and towns; Image resolution; Remote sensing; Roads; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Event (JURSE), 2013 Joint

Conference_Location

Sao Paulo

Print_ISBN

978-1-4799-0213-2

Electronic_ISBN

978-1-4799-0212-5

Type

conf

DOI

10.1109/JURSE.2013.6550677

Filename

6550677