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Multi-level change detection in urban areas using ZY-3 multi-temporal stereo imagery

机译：使用ZY-3多时相立体影像对城市进行多级变化检测

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Due to the rapid process of urbanization, there is an urgent need for accurate and detailed change detection in urban areas. Ziyuan-3 (ZY-3), as China's first civilian high spatial resolution satellite, carrying the three-line array camera, enables the acquisition of in-track stereo images. The characteristics of multi-angle imaging and high-spatial resolution are fully exploited to explore subtle urban change information. In this study, a multi-level (pixel-grid-block) change detection framework using stereo images was conducted to detect information related to land cover transitions, changed hotspots, and multi-temporal landscape. The experimental results reveal some interesting and informative findings: (1) our proposed multi-level method is effective in detecting change details, with kappa coefficient reaching 0.81 at the pixel level and correctness being 95% at the grid level; (2) the block-level landscape analysis indicate that there was greater fragmentation and spatial heterogeneity of building landscape during the urbanization process; (3) the mean nearest neighbor distance between building patches decreases by about 1.0 m during 2012 and 2013.
机译：由于城市化的快速进程，迫切需要在城市地区进行准确而详细的变化检测。子元3号卫星（ZY-3）是中国第一枚民用高空间分辨率卫星，搭载三线阵列相机，可以采集轨道内立体图像。充分利用多角度成像和高空间分辨率的特征来探索微妙的城市变化信息。在这项研究中，进行了使用立体图像的多级（像素网格块）变化检测框架，以检测与土地覆盖过渡，变化的热点和多时相景观有关的信息。实验结果揭示了一些有趣和有益的发现：（1）我们提出的多级方法可以有效地检测变化细节，在像素级的kappa系数达到0.81，在网格级的正确性为95％; （2）块级景观分析表明，城市化过程中建筑景观存在较大的破碎化和空间异质性; （3）在2012年和2013年期间，建筑物斑块之间的平均最近邻居距离减少了约1.0 m。

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