Building Detection and Description from a Single Intensity Image
作者： Chungan Lin , Ramakant Nevatia
关键词: Process (computing) 、 Construct (python library) 、 Artificial intelligence 、 Intensity (heat transfer) 、 Monocular 、 Aerial image 、 Roof 、 Image (mathematics) 、 Containment (computer programming) 、 Computer science 、 Computer vision
摘要: We describe a method to detect buildings and construct 3-D shape descriptions of from monocular aerial image with general viewpoint. A grouping process is used generate 2-D roof hypotheses fragmented linear features extracted the input image. Good are selected based on evidence some local evidence. These thenverifiedby searching for evidence, consisting shadows cast by walls associated it. This also helps models verified buildings. Overlap containment relations between structures analyzed resolve conflicts. allows integration results obtained multiple images. system has been tested large number real examples good results, which, along their evaluation, included in this paper.
core.ac.uk
acm.org
elsevier.com
sci-hub.se 参考文章(30)
Wolfgang Förstner, Mid-Level Vision Processes for Automatic Building Extraction Automatic Extraction of Man-Made Objects from Aerial and Space Images. pp. 179- 188 ,(1995) , 10.1007/978-3-0348-9242-1_17
Olivier Faugeras, Stéphane Laveau, Luc Robert, Gabriella Csurka, Cyril Zeller, 3-D Reconstruction of Urban Scenes from Sequences of Images Automatic Extraction of Man-Made Objects from Aerial and Space Images. pp. 145- 168 ,(1995) , 10.1007/978-3-0348-9242-1_15
Olivier Jamet, Olivier Dissard, Sylvain Airault, Building Extraction from Stereo Pairs of Aerial Images: Accuracy and Productivity Constraint of a Topographic Production Line Automatic Extraction of Man-Made Objects from Aerial and Space Images. pp. 231- 240 ,(1995) , 10.1007/978-3-0348-9242-1_22
Taejung Kim, Jan-Peter Muller, Building Extraction Building Extraction and Verification from Spaceborne and Aerial Imagery using Image Understanding Fusion Techniques Automatic Extraction of Man-Made Objects from Aerial and Space Images. pp. 221- 230 ,(1995) , 10.1007/978-3-0348-9242-1_21
Michael Gruber, Marko Pasko, Franz Leberl, Geometric versus Texture Detail in 3-D Models of Real World Buildings Automatic Extraction of Man-Made Objects from Aerial and Space Images. pp. 189- 198 ,(1995) , 10.1007/978-3-0348-9242-1_18
Roux, McKeown, Feature matching for building extraction from multiple views computer vision and pattern recognition. pp. 46- 53 ,(1994) , 10.1109/CVPR.1994.323809
Chungan Lin, Andres Huertas, Ramakant Nevatia, Detection of Buildings from Monocular Images Automatic Extraction of Man-Made Objects from Aerial and Space Images. pp. 125- 134 ,(1995) , 10.1007/978-3-0348-9242-1_13
Norbert Haala, Michael Hahn, Data fusion for the detection and reconstruction of buildings Automatic Extraction of Man-Made Objects from Aerial and Space Images. pp. 211- 220 ,(1995) , 10.1007/978-3-0348-9242-1_20
Edward Hance Shortliffe, Bruce G. Buchanan, Rule-based expert systems : the MYCIN experiments of the Stanford Heuristic Programming Project Addison-Wesley. ,(1985)
Robert T. Collins, Allen R. Hanson, Edward M. Riseman, Howard Schultz, Automatic Extraction of Buildings and Terrain from Aerial Images Automatic Extraction of Man-Made Objects from Aerial and Space Images. pp. 169- 178 ,(1995) , 10.1007/978-3-0348-9242-1_16