Building Change Detection Using 3-d Texture Model
نویسندگان
چکیده
Texture models are potentially very useful for automated urban data revision. We propose a ‘model-based change detection algorithm’ using three-dimensional urban data. In this algorithm, temporal images are projected on a common three-dimensional geometry model and the latest textures are compared with previous textures to detect an object’s change accurately. In addition, a shadow simulation with three-dimensional data can improve the accuracy of image comparison. Consequentially, the authors show that this algorithm is more reliable than an existing image-based change detection algorithm. Experimentally, using observed environmental temporal data, the authors confirmed that their algorithm could achieve reliable change detection with close to a 100% success rate.
منابع مشابه
Texture Generation and Mapping Using Video Sequences for 3D Building Models
Three-dimensional (3D) building model is one of the most important components in a cyber city implementation and application. This study developed an effective and highly automated system to generate and map (near) photo-realistic texture attributes onto 3D building models using digital video sequences. The system extracted frames with overlapped textures of building facades and integrated them...
متن کاملRevision and Reconstruction of 3d Building Data by Integrating Starimager/tls Imagery and Complementary Data
Change extraction of building is needed to revise building data effectively. Many change detection algorithms use height difference analysis using temporal data such as LIDAR. However, remarkable changes of buildings cannot be detected in urban dense areas. On the other hand, building textures might change with higher possibility. However, the change cannot be detected due to influences of shad...
متن کاملAutomatic Building Damage Detection Method Using High-Resolution Remote Sensing Images and 3D GIS Model
In this paper, a novel approach of building damaged detection is proposed using high resolution remote sensing images and 3D GIS-Model data. Traditional building damage detection method considers to detect damaged building due to earthquake, but little attention has been paid to analyze various building damaged types(e.g., trivial damaged, severely damaged and totally collapsed.) Therefore, we ...
متن کاملCombining and Steganography of 3-D Face Textures
One of the serious issues in communication between people is hiding information from the others, and the best way for this, is to deceive them. Since nowadays face images are mostly used in three dimensional format, in this paper we are going to steganography 3-D face images and detecting which by curious people will be impossible. As in detecting face only, its texture is important, we separat...
متن کاملModel-to-image Registration and Automatic Texture Mapping Using a Video Sequence Taken by a Mini Uav
3D city models are used in many fields. Photorealistic building textures find applications such as façade reconstruction, thermal building inspections and heat leakage detection using thermal infrared (TIR) images, quantitative evaluation or study of the materials lying on the object’s surface using multispectral images. Often texturing cannot be done using the same data which was used for 3D r...
متن کامل