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Back Issues of Engineering & Technology in India - From February 2016
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Copyright © 2015
M. S. Thirumalai
Publisher: M.S. Thirumalai
11249 Oregon Circle
Bloomington, MN 55438
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Unsupervised Change Detection of Urban Land Use and
Land Cover Change in SAR Images
R. Padmapriya, M.E.
Dr. V. Ilankumaran
Abstract
Remote sensing plays an important role in analysis of natural resources on the earth and to monitor the land use and land cover changes .Now a days this LULC mapping is of great significance in scientific planning and management because the land space destruction is essential where change detection aims at identifying the change that have ocuured in an area at two different times. This paper proposes a unsupervised monitoring based on undecimated discrete wavelet transform . Initally from the co-registered images wavelet features are extracted using UDWT.change vector analysis is applied next on the two temporal images. As a result change detection map is created.
Keywords: Change Detection; LULC; UDWT; CVA.
I. INTRODUCTION
In urban areas, regional land use activities much reflect the interaction between man and environment because of mankind’s basic economic accomplishments. Distantly sensed satellite images provide a synoptic overview of the whole area in a very short time span. This leads to nippy and truthful illustration of the real world in the finest probable manner. And also, it affords an insight to direct affiliation among shipping, housing, engineering and recreational land uses, besides providing broad-scale records of natural resources and monitoring environmental issues, including land reclamation, restoration, disaster relief, water quality and planning economic development. Change detection is very essential process for monitoring land use and land cover changes which is helpful for managing natural resources. The changes in land use and land cover are normally due to natural and human activities. Several applications are evolved based on remote sensing namely land cover monitoring, land cover change detection, classification, impact assessment and infrastructure planning. For understanding the interactions and relationships between natural phenomena and human, the periodic monitoring of change detection of earth surface is extremely important. In this paper, a novel UDWT transform domain approach to construct change detection binary map is performed initially on two co- registered images. Change Vector Analysis (CVA) is applied next on the two temporal images. As a result, change detection map is produced.
This is only the beginning part of the article. PLEASE CLICK HERE TO READ THE ENTIRE ARTICLE IN PRINTER-FRIENDLY VERSION.
R. Padmapriya, M.E.
Assistant Professor
Department of ECE
priyasaran600@gmail.com
Dr. V. Ilankumaran
Principal
Renganayagi Varatharaj College of Engineering
Salvarpatti, Thayilpatti
Sivakasi 626128
Virudhunagar District
Tamil Nadu
India
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