Thresholding and Fuzzy Rule-Based Classification Approaches in Handling Mangrove Forest Mixed Pixel Problems Associated with in QuickBird Remote Sensing Image Analysis

Mohd, Othman * and Nanna , Suryanna and Sahib@Sahibuddin, Shahrin and Abdollah, Mohd Faizal and Selamat, Siti Rahayu (2012) Thresholding and Fuzzy Rule-Based Classification Approaches in Handling Mangrove Forest Mixed Pixel Problems Associated with in QuickBird Remote Sensing Image Analysis. International Journal of Agriculture and Forestry, 2 (6). pp. 300-306. ISSN 2165-882X

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Abstract

Mangrove forest is an important costal ecosystem in the tropical and sub-tropical coastal regions. It is among the most productivity, ecologically, environmentally and biologically diverse ecosystem in the world. With the improvement of remote sensing technology such as remote sensing images, it provides the alternative for better way of mangrove mapping because covered wider area of ground survey. Image classification is the important part of remote sensing, image analysis and pattern recognition. It is defined as the extraction of differentiated classes; land use and land cover categories from raw remote sensing digital satellite data. One pixel in the satellite image possibly covers more than one object on the ground, within-class variability, or other complex surface cover patterns that cannot be properly described by one class. A pixel in remote sensing images might represent a mixture of class covers, within-class variability, or other complex surface cover patterns. However, this pixel cannot be correctly described by one class. These may be caused by ground characteristics of the classes and the image spatial resolution. Therefore, the aim of this research is to obtain the optimal threshold value for each class of landuse/landcover using a combination of thresholding and fuzzy rule-based classification techniques. The proposed techniques consist of three main steps; selecting training site, identifying threshold value and producing classification map. In order to produce the final mangrove classification map, the accuracy assessment is conducted through ground truth data, spectroradiometer and expert judgment. The assessment discovered the relationship between the image and condition on the ground, and the spectral signature of surface material in identifying the geographical object. Keywords Mangrove, Remote Sensing Satellite Image, Threshold, Fuzzy Rule-Based Classification

Item Type:	Article
Uncontrolled Keywords:	Mangrove, Remote Sensing Satellite Image, Threshold, Fuzzy Rule-Based Classification
Subjects:	S Agriculture > SD Forestry
Divisions:	Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User:	Mr Othman Mohd
Date Deposited:	18 Apr 2013 11:06
Last Modified:	11 Feb 2022 16:51
URI:	http://eprints.utem.edu.my/id/eprint/6968
Statistic Details:	View Download Statistic

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