Integrating Highly Spatial Satellite Image for 3D Buildings Modelling Using Geospatial Algorithms and Architecture Environment

Abstract

The growing demand for current and precise geographic information that pertains to urban areas has given rise to a significant interest in digital surface models that exhibit a high level of detail. Traditional methods for creating digital surface models are insufficient to reflect the details of earth's features. These models only represent three-dimensional objects in a single texture and fail to offer a realistic depiction of the real world. Furthermore, the need for current and precise geographic information regarding urban areas has been increasing significantly. This study proposes a new technique to address this problem, which involves integrating remote sensing, Geographic Information Systems (GIS), and Architecture Environment software environments to generate a detailed three-dimensional model. The processing of this study starts with: 1) Downloading high-resolution satellite imagery; 2) Collecting ground truth datasets from fieldwork; 3) Imaging nose removing; 4) Generating a Two-dimensional Model to create a digital surface model in GIS using the extracted building outlines; 5) Converting the model into multi-patch layers to construct a 3D model for each object separately. The results show that the 3D model obtained through this method is highly detailed and effective for various applications, including environmental studies, urban development, expansion planning, and shape understanding tasks.

Landscape Modeling From Aerial Imagery Digital Surface Models Generated With the Use of the Dense Matching Algorithm

“…Dibs and Al-Ansari, 2023 carried out a study that involves integrating remote sensing, Geographic Information Systems (GIS), and architecture environment software environments for creation of detailed three-dimensional model following some steps that include having highresolution satellite imagery; getting ground truth data, removal of image noise, generation of twodimensional model to create a DSM in GIS using extracted features outlines, convert the model into multi-patch layers to construct 3D mode [1]. They recommended that the 3D model obtained through their method was highly detailed and useful for various applications [1].…”

“…Dibs and Al-Ansari, 2023 carried out a study that involves integrating remote sensing, Geographic Information Systems (GIS), and architecture environment software environments for creation of detailed three-dimensional model following some steps that include having highresolution satellite imagery; getting ground truth data, removal of image noise, generation of twodimensional model to create a DSM in GIS using extracted features outlines, convert the model into multi-patch layers to construct 3D mode [1]. They recommended that the 3D model obtained through their method was highly detailed and useful for various applications [1]. Also, Kuschka et al, 2014 state that the Working Group 4 of Commission I of the International Society for Photogrammetry and Remote Sensing (ISPRS) is concerned with geometric and radiometric modeling of optical airborne and spaceborne sensors and has provided benchmark dataset assessment of the accuracy of dense stereo image matching algorithms.…”

“…There is a growing demand for recent and accurate geo-information for modeling different types of landscapes. This has given more interest in the digital surface models that encompasses high level of details [1]. Landscape modelling and feature extraction from airborne imagery stereopairs with exploitation of automated image matching methods has been a hot research topic for the last two decades.…”

“…Thus, the errors that arise in the image matching DSM might be due to insufficient texture in the original images, occlusions, or radiometric artifacts where these factors could increase inaccuracies in the created DSM from the image matching methods [10]. For these reasons, the accuracy of a DSM generated from aerial and satellite imagery stereo pairs can be assessed with the use of accurate Light Detection and Ranging (LiDAR) measurements that can be considered as ground truth data if available [1].…”