Jurnal Agrista
Vol 12, No 2 (2008): Volume 12 Nomor 2 Agustus 2008

Perbandingan Object Oriented Classification dan Maximum Likelihood Classification pada Pemetaan Penutupan Lahan di Kabupaten Gayo Lues

Rusdi, Muhammad ( Program Studi Ilmu Tanah, Fakultas Pertanian, Universitas Syiah Kuala )

Article Info

Publish Date
01 Aug 2008


Comparison of object Oriented Classification With Maximum Likelihood Classification on Land Cover Maaping in District of Gayo LuesABSTRACT. Image classification method used critically effects the classified image produced as well as its accuracy. One of the recently introduced classification methods is Object-Oriented Classification (OOC). The fundamental difference between this method and that of Maximum Likelihood Classification (MLC) lies on the basic unit of image analytical prosses, i.e., image object or segment, and not on a single pixed. The new classification method uses a segmentation procedure with a hierarchical approach which allows an addition of an object  characteristic to other information related  to the classified object, such as from, texture, and context. This object or segment is formed because the smallest region has a larger area than the image pixel. In this study, MLC and OOC classification methods were compered using Landsat ETM+ image for Gayo Lues District of Aceh. The objective of this study was to map out land cover/ landuse classes of the research area and compare the result and its accuracy using the MLC and OOC classification methods. Result  of the study showed that a higher, more detailed, hierarchical land cover/ landuse class with a higher accuracy was obtained using OOC classification method which corresponds better to the contextual condition in the field compared to that of the pixel- based classification method.

Copyrights © 2008

Journal Info





Agriculture, Biological Sciences & Forestry


Jurnal Agrista merupakan salah satu wadah bagi peneliti untuk menyebarluaskan hasil-hasil penelitian di bidang ilmu Agroteknologi, Ilmu Tanah dan Proteksi Tanaman, selain itu Jurnal Agrista juga mencakup di bidang MIPA Biologi serta FKIP Biologi. Jurnal Agrista memuat laporan hasil penelitian atau ...