Automated Chain for Large-Scale 3d Reconstruction of Urban Scenes From Satellite Images

Abstract

Automatic city modeling from satellite imagery is a popular yet challenging topic in remote sensing, driven by numerous applications such as telecommunications, defence and urban mamagement. In this paper, we present an automated chain for large-scale 3D reconstruction of urban scenes with a Level of Detail 1 from satellite images. The proposed framework relies on two key ingredient. First, from a stereo pair of images, we estimate a digital terrain model and a digital height model, by using a novel set of feature descriptors based on multiscale morphological analysis. Second, inspired by recent works in machine learning, we extract in an automatic way contour polygons of buildings, by adopting a fully convolutional network U-Net followed by a polygonization of the predicted mask of buildings. We demonstrate the potential of our chain by reconstructing in an automated way different areas of the world.

Operational Pipeline for Large-Scale 3D Reconstruction of Buildings From Satellite Images

“…The first step is to adjust the RCP model (we call the resulting model RPC-adjust) for georeferencing the images and computing epipolar images. We refer the reader to [9] for details of the designed algorithm, based on the AKAZE feature detection.…”

“…3). A DTM is further computed using our DTM generation algorithm [9] consisting of two steps: classification and surface interpolation. This DTM is used to orthorectify the closest-to-nadir image.…”

Global Soft Pooling Adaptive Attention Network for Single Aerial Image-Based 3D Outdoor Scene Reconstruction

“…3D outdoor scene reconstruction, a process that entails the reconstruction of the three-dimensional geometric structure of a scene based on one or more 2D images, has the capability to accurately capture the intricate details and textures of the 3D environment [1] . In recent years, the demand for 3D data has surged in various domains, including urban digital modeling [2,3] , the creation of immersive virtual reality environments within the metaverse [4] , and addressing public safety concerns in smart cities [5] . This increasing, demand has fueled extensive research and development efforts in the field of outdoor 3D scene reconstruction.…”