Abstract
Abstract. The scale of urban construction land is an important factor of the process of urbanization. This paper presented an urban construction land change detection method combining dense DSM difference and TDOM tree extraction of traditional aerial photos: the pixel-level DSM and TDOM for two period are obtained by Semi-Global Matching (SGM) and Multi View Stereo (MVS), respectively. After DSM pre-processing including noise filter and hole filling, the difference of DSM is calculated. The segmentation and tree extraction of TDOM are proposed to reduce the change errors caused by the crown influence of different seasons. Based on this method, 2 experiments were carried out. One was for the urban construction land located at 5th ring road south in Beijing with ADS80 aerial images obtained in 2016 and 2017, and the other was for the building demolition and construction of Dongcheng and Xicheng District of Beijing with UltraCam, the frame camera and RCD30 between 2015 and 2017. Through the experiments, it was concluded that the result of the method could identify all the changes both in the plane and in the elevation, and the edges of the change patches were clear and regular, which could assist checking the manual change extraction results. The minimum area of the change patches could be 5 m2 with the DSM resolution of 0.2 m, which was of great significance for the urban construction change detection including the factory, residential area and also the urban regional greening.
Highlights
Nowadays, Modern cites gather population, economics and natural resources with locational advantage and urbanization becomes an important socio-economic phenomenon
Remote sensing has become one of the main technical approaching in monitoring land-use dynamics with the resolution from 0.5 m to 250 m, the application of remote sensing data can effectively extract urban built-up areas on a regional or larger scale, and studying the changes is of great significance for monitoring the evolution of urban spatiotemporal pattern
With the dense Digital Surface Model (DSM) and True Digital Orthophoto Map (TDOM) extracted, this paper presented an urban construction land change detection method based on DSM difference and TDOM vegetation recognition, the work flow is listed in Figure 1: Aerial Data 1 Aerial Data 2
Summary
Modern cites gather population, economics and natural resources with locational advantage and urbanization becomes an important socio-economic phenomenon. Oblique photography technology could produce high precision DSM, Digital Orthophoto Map (DOM), 3D model and other spatial data, which realizes quantitive monitoring of illegal buildings with 3D information. There are some pseudo changes in the detection result with DSM caused by seasonal difference, combining both elevation and plane information is helpful to filer the. With the development of pixel-level matching technology and high performance computing, especially the application of Semi-Global Matching (SGM) (Shao, 2019) and Multi View Stereo (MVS) algorithms, traditional digital aerial photographs (non tilt or non large overlap) could be applied to extract the DSM and TDOM with the same accuracy as those of LiDAR and tilted photograph. In this paper an change detection workflow for urban area combining DSM and TDOM of traditional aerial photos is proposed
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