Land Cover Analysis by Using Pixel-Based and Object-Based Image Classification Method in Bogor

Birohmatin Amalisana, Rokhmatullah, Revi Hernina

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)

Abstract

The advantage of image classification is to provide earth's surface information like landcover and time-series changes. Nowadays, pixel-based image classification technique is commonly performed with variety of algorithm such as minimum distance, parallelepiped, maximum likelihood, mahalanobis distance. On the other hand, landcover classification can also be acquired by using object-based image classification technique. In addition, object-based classification uses image segmentation from parameter such as scale, form, colour, smoothness and compactness. This research is aimed to compare the result of landcover classification and its change detection between parallelepiped pixel-based and object-based classification method. Location of this research is Bogor with 20 years range of observation from 1996 until 2016. This region is famous as urban areas which continuously change due to its rapid development, so that time-series landcover information of this region will be interesting.

Original languageEnglish
Article number012005
JournalIOP Conference Series: Earth and Environmental Science
Volume98
Issue number1
DOIs
Publication statusPublished - 20 Dec 2017
Event5th Geoinformation Science Symposium 2017, GSS 2017 - Yogyakarta, Indonesia
Duration: 27 Sep 201728 Sep 2017

Keywords

  • land cover
  • object-based classification
  • pixel-based classification

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