基于无人机成像点云的禄丰恐龙谷南缘环状地貌空间特征探测实验分析

为了定量获取复杂地貌构造的特征参数，需要获取高精度、高分辨率的地形地貌数据。在复杂地貌特征探测中，基于无人机航测结合成像点云，可以快速、高效、安全、准确地完成复杂地貌空间探测任务。针对禄丰恐龙谷南缘环状地貌的典型局地场景，采用无人机测量技术获取测区高分辨率的地貌影像数据，构建实景三维场景模型并对其地貌特征进行探测分析研究。试验结果表明:①基于无人机成像点云构建0.2 m分辨率DEM数据能够精准表达研究区真实地貌特征。②通过构建环状场景"内-中-外"7条典型高程剖面线，对比分析证实了研究区地形呈现环形"盆缘"形态特征，内外两侧高程逐渐递减，并且"盆缘"外部剖面高程起伏变化剧烈，地形相较于内部地貌更加复杂。③为进一步探测提取微形地貌特征信息，利用无人机成像原理构建的精准DEM数据结合测区实景三维模型，定量提取了该区坡度、坡向、相对高差、等值线、山脊线、山谷线等相关参数进行精准定量测量及分析探讨。④利用立体三维模型的多视角目视解译与典型场景分析，可清楚辨别出测区冲沟发育以及地质体的节理层理面等微地貌特征。通过以上对地貌三维场景探测试验研究表明，利用实景三维模型能够快速准确呈现测区地貌形态特征，并且成像点云数据综合分析，能够量化、半量化揭示区域构造地质信息。总体而言，无人机测量技术与成像点云3D产品在地质调查中的应用具有实用意义，并具备独特的技术优势。 

Experimental analysis of spatial feature detection of the ring geomorphology at the south edge of Lufeng Dinosaur Valley based on UAV imaging point cloud

In order to quantitatively obtain the characteristic parameters of complex geomorphological structures, high precision and high resolution topographic and geomorphological data are required.In the detection of complex geomorphic features, UAV aerial survey combined with imaging point cloud can accomplish the task of spatial detection of complex geomorphic features quickly, efficiently, safely and accurately.In this study, the UAV measurement technology is used to obtain high-resolution geomorphological image data, construct a realistic 3D scene model and analyse the geomorphological features of the typical local scenes of the ring-shaped landform at the southern edge of Lufeng Dinosaur Valley.The experimental results show that: ①The DSM data obtained based on the UAV imaging point cloud can accurately express the real geomorphological features of the study area by filtering, extracting thinning, classifying and other data processing to obtain the ground points and constructing 0.2 m resolution DEM data by using the progressive encrypted triangle network method.②By constructing 7 typical elevation profiles of the circular scene "inner-middle-outer", the comparative analysis confirms that the topography of the study area is characterized by the 0 profile line as the main highland ridgeline, showing a circular "basin rim" pattern, with gradually decreasing elevation on the inner and outer sides, and the elevation of the outer profile of the "basin rim" changes dramatically, and the topography is more complex than that of the inner landscape.③In order to further detect and extract the information of micro-morphological features, the accurate DEM data constructed by the principle of UAV imaging combined with the realistic 3D model of the survey area, quantitatively extracted the slope, slop direction, relative height difference, contour, ridge line valley line and other related parameters of the area for accurate quantitative measurement and analysis and discussion.④ Using the multi-view visual interpretation of the three-dimensional 3D model and the analysis of typical scenes, micro-geomorphic features such as the development of washouts in the survey area and the nodal laminated surface of the geological body can be clearly identified.Through the above experimental research on geomorphological 3D scene detection, it is easy to find that the use of realistic 3D models can quickly and accurately present the geomorphological features of the survey area, and the comprehensive analysis of imaging point cloud data can quantitatively and semi-quantitatively reveal regional geological structure information.Overall, the UAV measurement technology and imaging point cloud 3D product application in geological survey has practical significance and unique technical advantages.