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

5th Geoinformation Science Symposium 2017

地球科学;计算机科学

Amalisana, Birohmatin^1 ; Rokhmatullah^2 ; Hernina, Revi^2

Bachelor Program of Geography, Universitas Indonesia, Depok, Indonesia^1

Department of Geography, Faculty of Mathematic and Natural Science, Universitas Indonesia, Depok, Indonesia^2

关键词: Classification technique;    Land cover;    Land cover analysis;    Land-cover classification;    Mahalanobis distances;    Object-based classifications;    Object-based image classification;    Pixel based classifications;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/98/1/012005/pdf
DOI  :  10.1088/1755-1315/98/1/012005

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.