城区建筑物变化检测是土地利用、资源管理和城市规划的重要内容,然而我国南方地区常年受云雾雨天气影响,光学影像难以发挥作用,我国自主研制的陆地探测一号01组A/B卫星(LuTan-1A/1B)具有高分辨率、短重返周期、多极化、全天时、全天候等优势,可作为光学影像的重要补充,在变化检测领域有较强的应用潜力。本文基于LuTan-1数据,提出一种融合多时相SAR幅度特征和相干性信息的城区建筑物变化检测算法,该算法通过建筑物识别、色域分割和相干性变化约束,将多时相影像像素值变化与建筑物变化情况对应,从而获取城区建筑物变化区域并定位建筑物变化时段。本文以珠海市横琴镇局部地区为例展开实验,利用2023年6月23日至11月14日共5景LuTan-1升轨影像得到研究区建筑物变化检测结果。同时借助工程项目施工情况对横琴镇东北部及中部的建筑物变化检测结果进行验证,结果显示八处典型区域内共19处建筑物变化情况均与项目施工周期吻合,验证了算法的可靠性,展现了LuTan-1数据在变化检测领域的应用能力和价值,在城市规划和违建查处等领域具有广泛的应用前景。

Objective: Urban building change detection is an important part of land use, resource management and urban planning. However, due to the influence of cloud, fog and rain weather in southern China, optical images are difficult to play a role. China"s self-developed LT-1A/1B satellite have the advantages of high resolution, short return period, multi-polarization, all-day and all-weather. It can be used as an important supplement to optical images and has strong application potential in change detection. Based on LT-1 data, this paper proposes an urban building change detection algorithm that combines multi-temporal SAR amplitude and coherence information. Method: The algorithm uses building recognition, color model conversion and coherence change constraints to correspond multi-temporal image pixel value changes to building changes, thereby obtaining urban building change areas and locating building change periods. Result: In this paper, we take the local area of Hengqin Town, Zhuhai City as an example to carry out the experiment, and the results of building change detection in the study area are obtained by using five scenes of LT-1 ascending images from June 23,2023 to November 14,2023. At the same time, we verify the results of building change detection in the northeast and central parts of Hengqin Town by the construction of buildings. The result shows that the changes of 19 buildings in eight typical areas are consistent with the construction period of buildings, which verifies the reliability of the algorithm. Conclusion: It shows the application ability and value of LT-1 data in the field of change detection, and has a wide application prospect in the fields of urban planning and illegal construction investigation.