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SWIMMING POOLS LOCALIZATION IN COLOUR HIGH-RESOLUTION SATELLITE IMAGES

机译:彩色高分辨率卫星图像中的游泳池本地化

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Detecting and localizing objects from space, like roads, rivers, lakes, etc., is a challenging task with multiple applications in remote sensing. In this paper we address the detection of swimming pools in colour high-resolution images of urban areas acquired by the Quickbird satellite. The main motivation of this work is to survey and localize filled swimming pools during drought periods, fact that should be then punished by the local authorities. The proposed algorithm applies colour analysis for water detection and approximate segmentation, as an initial, rough localization, and active contours techniques to refine the pools' shape. We have tested our algorithm in both satellite and aerial images with satisfactory results.
机译:从太空中检测和定位物体,如道路,河流,湖泊等,是一个具有挑战性的任务,具有多种遥感应用。在本文中,我们解决了Quickbird卫星收购的城市地区颜色高分辨率图像中游泳池的检测。这项工作的主要动机是在干旱期间调查和本地化填充的游泳池,事实应该被地方当局受到惩罚。所提出的算法对水检测和近似分割应用颜色分析,作为优化池形状的初始,粗糙的定位和有源轮廓技术。我们在卫星和空中图像中测试了我们的算法,结果令人满意。

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