Abstract
In modern remote sensing procedures, one of the most important issues is to distinguish specific types of land coverage. Discrimination between different land coverages especially in metropolitan surveying is so important that the in front civilization projects are basically dependent to them. In this paper, an innovative image processing strategy is employed for distinguishing green lands from other metropolitan areas in aerial imaging. The main purpose of this project is to audit green land areas, either public or private, for forthcoming municipal projects. The proposed method is constituted of four main stages. In the first step, the acquired aerial video frames, even in or offline modes, are converted into static images. In the second and third stages, two distinct pre-processing stages are deployed. The output of these two preprocessing stages is segmented into two parts comprising of green land and other urban areas. The evaluation and experimental results demonstrate the fair and applicable performance near 90% (86% in average) in F-score criterion.
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