王英航在 ISPRS年会上发表一篇贴近用于地质灾害的文章：
THE KEY TECHNOLOGIES OF GEOLOGICAL DISASTER DYNAMIC MONITORING BASED ON NAP-OF-THE-OBJECT PHOTOGRAMMETRY
中文摘要|：
地质灾害动态监测是一项重要的任务，摄影测量因其数据处理方便、成本低、非接触、纹理信息直观、三维真实场景模型复杂等优点，在地质灾害监测中发挥着重要作用。针对传统摄影测量无法满足动态监测的需要，本文基于多时段目标摄影测量，获取高精度图像，生成精细的三维真实场景模型，进行地质灾害的动态监测。提出了一种基于三维模型差异比较的地质灾害变形检测方法，用于定位变形严重的位置。然后，基于严重变形区域，生成多周期广义正射影像，并利用图像特征匹配找到广义正射图像之间的同名点。利用广义正射影像的二维和三维坐标正、反变换，计算变形位移的大小和方向，分析地质灾害的变形趋势，最终实现对地质灾害变形趋势的准确监测。结果表明，本文提出的变形区域检测方法简单有效，能够快速找到变形位置。基于多周期广义正射影像的变形趋势预测是可行的，并且可以准确地指出3CM变形的位移。
THE KEY TECHNOLOGIES OF GEOLOGICAL DISASTER DYNAMIC MONITORING BASED ON NAP-OF-THE-OBJECT PHOTOGRAMMETRY
Y. Wang
1,
Y. Duan
1,
B. Pang
2,
and R. Liu
1
1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
2Huaneng Lancang River Hydropower INC, China
Keywords: Geologic Hazard, Dynamic Monitoring, Nap-of-the-object Photogrammetry, Refined 3D model
Dynamic monitoring of geological hazards is an important project. Photogrammetry plays an important role in geological hazard monitoring, because of its advantages of convenient data processing, low cost, non-contact, direct texture information and intricate 3-D real scene model. For the traditional photogrammetry can not meet the needs of dynamic monitoring, based on multi-period nap-of-the-object photogrammetry, this paper obtains high-precision images and produces a refined 3D real scene model to carry out the dynamic monitoring of geological disasters. A deformation detection method of geological hazards based on the comparison of three-dimensional model differences is proposed to locate the position with serious deformation. Then, based on the severely deformed area, the multi-period generalized orthophotos are produced, and the image feature matching is used to find the homonymous points between the generalized orthophotos. The two-dimensional and three-dimensional coordinate forward and inverse transformation of the generalized orthophotos are used to calculate the size and direction of the deformation displacement, analyze the deformation trend of geological disasters, and finally realize accurate monitoring of the deformation trend of geological disasters. The results show that the deformation area detection method proposed in this paper is simple and effective, which can quickly find the deformation position. The deformation trend prediction based on multi-period generalized orthophotos is feasible, and the displacement with deformation of 3CM can be accurately pointed out.
