A Comparison of Object-Based and Pixel-Based Approaches for Land Use/Land Cover Classification Using LAPAN-A2 Microsatellite Data

Jalu Tejo Nugroho and Zylshal and Nurwita Mustika Sari and Dony Kushardono (2017) A Comparison of Object-Based and Pixel-Based Approaches for Land Use/Land Cover Classification Using LAPAN-A2 Microsatellite Data. International Journal of Remote Sensing and Earth Sciences, 14 (1). pp. 27-36. ISSN 0216-6739

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Abstract

In recent years, small satellite industry has been a rapid trend and become important especially when associated with operational cost, technology adaptation and the missions. One mission of LAPAN-A2, the 2nd generation of microsatellite that developed by Indonesian National Institute of Aeronautics and Space (LAPAN), is Earth observation using digital camera that provides imagery with 3.5 m spatial resolution. The aim of this research is to compare between object-based and pixel-based classification of land use/land cover (LU/LC) in order to determine the appropriate classification method in LAPAN-A2 data processing (case study Semarang, Central Java).The LU/LC were classified into eleven classes, as follows: sea, river, fish pond, tree, grass, road, building 1, building 2, building 3, building 4 and rice field. The accuracy of classification outputs were assessed using confusion matrix. The object-based and pixel-based classification methods result for overall accuracy are 31.63% and 61.61%, respectively. According to accuracy result, it was thought that blurring effect on LAPAN-A2 data may be the main cause of accuracy decrease. Furthermore, the result is suggested to use pixel-based classification to be applied in LAPAN-A2 data processing.

Item Type: Article
Uncontrolled Keywords: LAPAN-A2 microsatellite, LU/LC, object-based, pixel-based
Subjects: Teknologi Penginderaan Jauh > Pengelolaan dan Pengembangan > Pengoperasian Satelit
Divisions: Deputi Penginderaan Jauh > Pusat Pemanfaatan Penginderaan jauh
Depositing User: Dinar Indrasasi
Date Deposited: 24 Aug 2021 11:57
Last Modified: 13 Oct 2021 03:11
URI: http://repositori.lapan.go.id/id/eprint/1175

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