COMPARISON OF OBJECT-ORIENTED AND PIXEL-BASED CLASSIFICATION METHODS FOR LAND USE MAPPING (CASE STUDY: ISFAHAN-BORKHAR, NAJAFABAD AND CHADEGAN PLAINS)

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GHAFARI S.; MORADI H.R.; MODARES R.

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Information Journal Paper

Title

COMPARISON OF OBJECT-ORIENTED AND PIXEL-BASED CLASSIFICATION METHODS FOR LAND USE MAPPING (CASE STUDY: ISFAHAN-BORKHAR, NAJAFABAD AND CHADEGAN PLAINS)

Author(s)

GHAFARI S. | MORADI H.R. | MODARES R. | Issue Writer Certificate

Keywords

PIXEL-BASEDQ1

OBJECT-ORIENTEDQ1

MAXIMUM LIKELIHOOD ALGORITHMQ1

NEAREST NEIGHBOUR ALGORITHMQ1

LAND USEQ2

Abstract

Change detection algorithms of remote sensing image can be divided into two categories: PIXEL-BASED and OBJECT-ORIENTED, according to the minimum processing unit.This paper deals with the comparison between application of PIXEL-BASED and objectoriented approaches in LAND USE classification in Isfahan-Borkhar, Najafabad and Chadegan plains and evaluation of LAND USE changes with Landsat TM (1985) and OLI (2015) data during the study period. The OBJECT-ORIENTED approach involved the segmentation of image data into objects with multi-resolution segmentation algorithm by eCognition software. Then objects were assigned and classified with the NEAREST NEIGHBOUR ALGORITHM in OBJECT-ORIENTED classification The supervised PIXEL-BASED classification involved the selection of training areas and a classification using a MAXIMUM LIKELIHOOD ALGORITHM. Accuracy assessments of both classifications were undertaken. The results show better overall accuracy (higher 90%) of the OBJECT-ORIENTED classification over the PIXEL-BASED classification. The LAND USE maps indicate that residential area is increased 2.09, 9.66 and 3.74% and rangeland area are decreased 7.48, 10.94 and 17.73% in Isfahan-Borkhar, Najafabad and Chadegan plains in the study period, respectively. In Chadegan plain the increase in agriculture and fallow LAND USE has been equal to 8.31 and 5.64%, respectively.

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APA: Copy

GHAFARI, S., MORADI, H.R., & MODARES, R.. (2018). COMPARISON OF OBJECT-ORIENTED AND PIXEL-BASED CLASSIFICATION METHODS FOR LAND USE MAPPING (CASE STUDY: ISFAHAN-BORKHAR, NAJAFABAD AND CHADEGAN PLAINS). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 9(1 (30) ), 40-57. SID. https://sid.ir/paper/189475/en

Vancouver: Copy

GHAFARI S., MORADI H.R., MODARES R.. COMPARISON OF OBJECT-ORIENTED AND PIXEL-BASED CLASSIFICATION METHODS FOR LAND USE MAPPING (CASE STUDY: ISFAHAN-BORKHAR, NAJAFABAD AND CHADEGAN PLAINS). JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2018;9(1 (30) ):40-57. Available from: https://sid.ir/paper/189475/en

IEEE: Copy

S. GHAFARI, H.R. MORADI, and R. MODARES, “COMPARISON OF OBJECT-ORIENTED AND PIXEL-BASED CLASSIFICATION METHODS FOR LAND USE MAPPING (CASE STUDY: ISFAHAN-BORKHAR, NAJAFABAD AND CHADEGAN PLAINS),” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 9, no. 1 (30) , pp. 40–57, 2018, [Online]. Available: https://sid.ir/paper/189475/en

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