Recognition-Driven Two-Dimensional Competing Priors Toward Automatic and Accurate Building Detection

In this paper, a novel recognition-driven variational framework, toward multiple building extraction from aerial and satellite images, is introduced. To this end, competing shape priors are considered, and building extraction is addressed through an image segmentation approach that involves the use of a data-driven term constrained from the prior models. The proposed framework extends previous approaches toward the integration of multiple shape priors into the level-set segmentation. In particular, it estimates the number of buildings as well as their pose from the observed data. Therefore, it can address multiple building extraction from a single optical image, a highly demanding task of fundamental importance in various geoscience and remote-sensing applications. Furthermore, it can be easily extended to deal with other remote-sensing data through a simple modification of the image term. Very promising experimental results and the performed qualitative and quantitative evaluation demonstrate the potential of our approach.

[1]  Tony F. Chan,et al.  Level set based shape prior segmentation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[2]  Nikos Paragios,et al.  Registration with Uncertainties and Statistical Modeling of Shapes with Variable Metric Kernels , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  E. Baltsavias,et al.  Automatic Extraction of Man-Made Objects from Aerial and Space Images (II) , 1995 .

[4]  Nozha Boujemaa,et al.  Adaptive Satellite Images Segmentation by Level Set Multiregion Competition , 2006 .

[5]  Nikos Paragios,et al.  Handbook of Mathematical Models in Computer Vision , 2005 .

[6]  John W. Fisher,et al.  Submitted to Ieee Transactions on Image Processing a Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution , 2022 .

[7]  Nikos Paragios,et al.  Prior Knowledge, Level Set Representations & Visual Grouping , 2008, International Journal of Computer Vision.

[8]  Josiane Zerubia,et al.  Two Variational Models for Multispectral Image Classification , 2001, EMMCVPR.

[9]  Rachid Deriche,et al.  Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision , 2002, J. Vis. Commun. Image Represent..

[10]  Uwe Soergel,et al.  Building Recognition From Multi-Aspect High-Resolution InSAR Data in Urban Areas , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Eberhard Gülch,et al.  DIGITAL SYSTEMS FOR AUTOMATED CARTOGRAPHIC FEATURE EXTRACTION , 2000 .

[12]  Jacky Desachy,et al.  Geographic information system updating using remote sensing images , 2002, Pattern Recognit. Lett..

[13]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[14]  O. Faugeras,et al.  The Geometry of Multiple Images , 1999 .

[15]  Xin Yang,et al.  A two-stage level set evolution scheme for man-made objects detection in aerial images , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[16]  Helmut Mayer,et al.  Automatic Object Extraction from Aerial Imagery - A Survey Focusing on Buildings , 1999, Comput. Vis. Image Underst..

[17]  K. Karantzalos,et al.  A Region-based Level Set Segmentation for Automatic Detection of Man-made Objects from Aerial and Satellite Images , 2009 .

[18]  Nahum Kiryati,et al.  Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion , 2007, International Journal of Computer Vision.

[19]  C. Koch,et al.  Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.

[20]  W. Eric L. Grimson,et al.  Model-based curve evolution technique for image segmentation , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[21]  Anthony Stefanidis,et al.  AUTOMATION AND DIGITAL PHOTOGRAMMETRIC WORKSTATIONS , 2004 .

[22]  Trish Keaton,et al.  A level set method for the extraction of roads from multispectral imagery , 2002, Applied Imagery Pattern Recognition Workshop, 2002. Proceedings..

[23]  Emmanuel P. Baltsavias,et al.  Object extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems☆ , 2004 .

[24]  Yunmei Chen,et al.  Using Prior Shapes in Geometric Active Contours in a Variational Framework , 2002, International Journal of Computer Vision.

[25]  Fabrice Heitz,et al.  Affine-invariant geometric shape priors for region-based active contours , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[26]  Jing Peng,et al.  An improved snake model for building detection from urban aerial images , 2005, Pattern Recognit. Lett..

[27]  Shu-Ching Chen,et al.  Automatic Construction of Building Footprints From Airborne LIDAR Data , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[28]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[29]  Xutong Niu,et al.  A semi-automatic framework for highway extraction and vehicle detection based on a geometric deformable model , 2006 .

[30]  C. E. Springer,et al.  Geometry and Analysis of Projective Spaces , 1967 .

[31]  Michal Irani,et al.  All About Direct Methods , 1999 .

[32]  Juha Hyyppä,et al.  EuroSDR building extraction comparison , 2005 .

[33]  Tony F. Chan,et al.  A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model , 2002, International Journal of Computer Vision.

[34]  IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 34. NO. 4, JULY 1996 Universal Multifractal Scaling of Synthetic , 1996 .

[35]  A. Dervieux,et al.  Multifluid incompressible flows by a finite element method , 1981 .

[36]  Andrew Zisserman,et al.  Multiple View Geometry in Computer Vision (2nd ed) , 2003 .

[37]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[38]  O. Faugeras,et al.  Statistical shape influence in geodesic active contours , 2002, 5th IEEE EMBS International Summer School on Biomedical Imaging, 2002..

[39]  Daniel Cremers,et al.  A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation , 2005, International Journal of Computer Vision.

[40]  John E. Ball,et al.  Level set segmentation of remotely sensed hyperspectral images , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..