Urban change detection in the Helsinki metropolitan region using Radarsat-1 fine beam SAR images

M. Karjalainen, J. Hyyppa, Y. Devillairs
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引用次数: 8

Abstract

This paper describes the potential of Radarsat-1 fine beam intensity SAR images in urban mapping and change detection. The main objective was to determine the possibility of building detection e.g. as a function of height, orientation, roof material and roof type in the Helsinki metropolitan region. Altogether, 22235 buildings were used to estimate the effect of height, and then 14270 buildings were used to estimate the effect of orientation. Additionally, a smaller and more detained set of buildings was selected from various environments e.g. from forested and dense urban areas. It was shown that height and orientation were the main factors affecting on the detectability of the buildings. The results indicate that approximately 39% of the buildings can be detected using the Radarsat-1 SAR; densely build up areas are clearly visible in Radarsat fine beam images, but in small-house areas buildings that are surrounded by forest are visible only in very rare cases.
利用Radarsat-1精细波束SAR图像探测赫尔辛基大都市区的城市变化
本文介绍了Radarsat-1精细波束强度SAR图像在城市制图和变化检测中的潜力。主要目标是确定建筑检测的可能性,例如作为赫尔辛基大都市区高度、朝向、屋顶材料和屋顶类型的函数。总共有22235座建筑被用来估计高度的影响,然后14270座建筑被用来估计方向的影响。此外,从不同的环境中,如森林和密集的城市地区,选择了一组更小、更隐蔽的建筑。结果表明,高度和方位是影响建筑物可探测性的主要因素。结果表明,利用Radarsat-1 SAR可以探测到约39%的建筑物;建筑物密集的地区在雷达卫星精细波束图像中清晰可见,但在被森林包围的小房子地区,只有在极少数情况下才能看到建筑物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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