Detection of Built-up Areas from High Resolution Satellite Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 9
Abstract
With the advancement in remote sensing technology, high resolution remote sensing have become a key source of information in many application platforms such as urban development, agriculture monitoring, military, intelligence, disaster relief is a high resolution remote sensing applications. Since there is a tremendous advancement in remote sensing technology, Among many of its applications, built-up area detection and land development management is an important application domain of high resolution satellite imagery, because it provides quantitative analysis in the distribution of population of a particular area of interest. This paper proposes an approach to simultaneously detect the manmade areas from the satellite images. Our approach consist of two major steps: preprocessing using a nonlinear filtering to enhance the images and its components and active contour without edge model to simultaneously extract the boundaries of built-up areas. Nonlinear Filtering helps to remove noisy image components to the large extent and Active Contour model has an advantage to detect an object in noisy 2D images. This model works on the principle of evolving a curve from a given image, in order to detect the objects from the images.
Authors and Affiliations
Mohammad Taha, Geeta Hanji, M. V. Latte
Keywords
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