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面向对象变化检测中多时相图像分割模式影响评价

DOI: 10.13232/j.cnki.jnju.2015.016, PP. 1049-1057

Keywords: 高分辨率遥感图像,面向对象变化检测,多时相图像分割,变化检测精度评价

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Abstract:

面向对象变化检测是高分辨率遥感图像分析技术中的研究热点,在国土资源监测、城市扩展、森林植被变化等方面具有广泛的应用前景。多时相图像分割是面向对象变化检测的关键步骤,主要包括三种模式:多时相组合分割、单时相分割与多时相分别分割。本文通过分析三种多时相图像分割模式下变化对象的差异,评价多时相图像分割策略对于面向对象变化检测结果的影响。结果表明,多时相分割模式对变化对象形状以及检测精度的影响均较大,三种模式中的多时相组合图像分割模式对本文研究区的变化检测精度最高。

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