Land use Detection in Nusajaya using Higher-Order Modified Geodesic Active Contour Model

N Alias,F Mustapha,M N

doi:10.14569/ijacsa.2019.0101008

Abstract

Urban development is a global phenomenon. In Johor, especially Nusajaya is one of the most rapidly developing cities. This is due to the increase of land demand and population growth. Moreover, land-use changes are considered to be one of the major components of current environmental monitoring strategies. In this context, image segmentation and mathematical model offers essential tools that can be used to analyze land use detection. The image segmentation process is known as the most important and difficult task in image analysis. Nonlinear fourth-order models had shown to have a good achievement in recovering smooth regions. Therefore, these motivate us to propose a fourth-order modified geodesic active contour (GAC) model. In the proposed model, a modified signed pressure force (SPF) function has been defined to segment the inhomogeneous satellite images. The simulations of the fourth-order modified GAC model through some numerical methods based on the higher-order finite difference method (FDM) have been illustrated. Matlab R2015a software in Windows 7 Ultimate on Intel (R) Core (TM) i5-3230M @ 2.60GHz CPU with 8 GB RAM has been considered as a computational platform for the simulation. Qualitative and quantitative differences between modified SPF functions and other SPF functions have been shown as a comparison. Hence land use detection is very useful for local governments and urban planners to enhance the future sustainable development plans of Nusajaya.

Highlights

Nowadays, land-use changes, increasing due to increases in human activities which give a big impact on the global environmental changes [1]
This paper proposed a novel of higher-order modified geodesic active contour (GAC) model that utilizes the advantages of the local regionbased model and global region-based model by integrating the local and global intensity information to develop a modified signed pressure force (SPF) function
Even though the RBGS and JB methods are derived from fourth-order approximation of the GAC model, but they are lacking in terms of accuracy due to the rounding off errors that have been accumulated from the start of execution until the end

Summary

Introduction

Land-use changes, increasing due to increases in human activities which give a big impact on the global environmental changes [1]. The well-known nonlinear PDE-based tool for image segmentation is known as the geodesic active contour (GAC) model. Author in [12] adopted an error term in the generalized geodesic active contour (GGAC) model in order to detect the multi-connected region of images. This method, often suffers from serious problems with boundary leaks in images with weak object boundaries and the contour must be located close to the desired target, or the evolution curve can pitch to a local minimum and converge to the incorrect solution [13]

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Discussion

Conclusion