Titlebook: Automatic Extraction of Man-Made Objects from Aerial and Space Images (II); Armin Gruen,Emmanuel P. Baltsavias,Olof Henricsson Conference

慢慢沖刷

The Role of Artificial Intelligence in the Reconstruction of Man-made Objects from Aerial Imageson as a whole, namely perceptual organization, modeling and knowledge representation, control, handling of uncertainties, to name but the most important ones. As the field is far from mature at this very moment, AI can and will further contribute to its advancement.

faultfinder

From large-scale DTM extraction to feature extractiondigital photogrammetry belongs to image understanding - without GIS tools and spatial analysis tools. In a multi-sensor and multi-image environment, one possible evolution of digital photogrammetric workstations (DPW) could be a transition towards digital monoplotters with direct links to GIS data and GIS functionalities.

Heresy

3-D Building Reconstruction with ARUBA: A Qualitative and Quantitative Evaluationtegy and concisely describing the framework and its modules, we evaluate the reconstructed roofs relative to accurate reference data based on three criteria: completeness, geometric accuracy and shape similarity. Finally, we interpret the results of the performance evaluation and make suggestions for improvements.

Lime石灰

A System for Building Detection from Aerial Imagesn 3-D space. Results from several images can be integrated at a high level. An interactive system allows efficient editing of results by making use of the analysis performed by the automatic system; it also allows for some initial preparation of the data to improve results of the automatic system. Some results and their evaluation are included.

使尷尬

chapel

Conference proceedings 1997ds of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits by the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the most recen

legacy

r the fields of computer vision and photogrammetry, which are now converging towards sharing, to a great extent, objectives and algorithms. The potential for mutual benefits by the close collaboration and interaction of these two disciplines is great, as photogrammetric know-how can be aided by the

innovation

Convergence Towards a Global Culture? that a promising direction for achieving this goal lies in the construction of systems containing context sensitive control strategies for synchronizing the application of image understanding modules (algorithms) whose individual domain of expertise is limited.

容易懂得

Global Networking and Worldviewesentations. Two example nets are given to demonstrate the flexibility and applicability of the approach. The first one is on the automatic 3D structure analysis of suburban scenes in series of aerial images. The second is on the automatic construction of descriptions of complex buildings in vector maps.

hurricane

https://doi.org/10.1057/9780230289611statistically the performance of the system, a set of 100 realisations of 5 images from different viewpoints was used, which was generated by combining real and ray-traced images. The experiments show a significant improvement of reliability and accuracy if multi-view imagery is used instead of single-view.