In this paper, we take three-dimensional surface shape measurement of landslide data for example. By multiple measurements, we propose a novel way of monitoring and early warning of landslides. The basic idea is to use the spectrum of the signal to recover the measured object surface shape. The generally measurement process s Firstly , it obtains the deformation fringe pattern by using structured light illumination and a CCD camera. Then after Fourier transform, spectrum filtering, inverse Fourier transform, phase unwrapping and other processing of the deformation fringes, we can get the measured object reconstructed three-dimensional surface shape. We study surface shape information acquisition and processing of dynamic measurement, choose phase expansion program which suitable for dynamic measurement of surface shape, simulate the measurement process, design and implement dynamic three-dimensional shape measurement system based on FPGA which can process 80～120 Frames Per Second. Theory and practice prove that the three-dimensional shape measurement of objects based on Fourier transform profilometry in dynamic deformation process is entirely feasible.%以测量新滩滑坡的三维面形数据为例,通过多次测量,提出了一种新颖的山体滑坡监测预警方式;其基本思路是利用信号的频谱特性去恢复被测物体的面形;其大致测量过程是通过采用结构光照明和CCD摄像机获取变形条纹图,再经过对变形条纹图进行傅立叶变换、频谱滤波、逆傅立叶变换,相位展开等处理后可以得到被测物体重建的三维面形;研究了动态测量中的面形信息获取与处理,采用了适合动态面形测量的位相展开的方案,计算机模拟了测量过程,设计和实现了能处理80～120帧/秒的基于FPGA的动态三维面形测量系统;理论和实践证明基于傅立叶变换轮廓术对处于动态变形过程中的物体的三维面形测量是完全可行的.
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