In 2016, DigitalGlobe’s third-generation commercial Earth observation satellite WorldView-4 (WV-4), which offered 31 cm spatial resolution for panchromatic imagery, was launched and was active up to January 2019. Together with WorldView-3, this is the highest ground resolution of civilian optical space-borne missions. In this study, the information content of WV-4′s pan-sharpened stereo imagery is comprehensively investigated by manual and automatic object extraction approaches in a study area with rolling urban topography. The potential of automatic extraction was maximised by a group of refinement methods supported by the normalised digital surface model (NDSM) generated from WV-4 stereo pair. The NDSM was used as an additional band in the segmentation for revealing the object height heterogeneity. The results demonstrated that our method increased the precision, completeness and overall quality of WV-4 automatic extraction up to 8.4% for the number of buildings and up to 3.4% for the road length.

在2016年，DigitalGlobe发射了第三代商业地球观测卫星WorldView-4（WV-4），该卫星为全色图像提供了31厘米的空间分辨率，并一直有效到2019年1月。与WorldView-3一起，这是最高的民用光学星载飞行任务的地面分辨率。在这项研究中，通过手动和自动目标提取方法，在一个具有滚动城市地形的研究区域中，对WV-4的全清晰立体图像的信息内容进行了全面研究。通过从WV-4立体声对生成的归一化数字表面模型（NDSM）支持的一组优化方法，最大程度地发挥了自动提取的潜力。NDSM被用作分割中的附加波段，以揭示物体高度的异质性。