22.3.1 Site Model Construction and Evaluation, General Mapping

Chapter Contents (Back)
Remote Sensing. Building Evaluation. Aerial Image Analysis.

Climenson, D.W.[Douglas W.], and Strat, T.M.[Thomas M.],
RADIUS: Site Model Content,
ARPA94(I:277-285). Aerial Image Analysis. Using context to guide processing in aerial images. BibRef 9400

Strat, T.M.[Thomas M.], Climenson, D.W.[Douglas W.],
Site Model Content,
Radius97(117-125). BibRef 9700

Strat, T.M.[Thomas M.], Climenson, D.W.[Douglas W.],
An Overview of DARPA's Research Program in Automatic Population of Geospatial Databases,
Ascona97(3-12). BibRef 9700

Chellappa, R., Zheng, Q., Kuttikkad, S., Shekhar, C., Burlina, P.,
Site Model Construction for the Exploitation of E-O and SAR Images,
Radius97(185-208). BibRef 9700

Kuttikkad, S., Chellappa, R.,
Building Wide Area 2-D Site Models from High Resolution Fully Polarimetric Synthetic Aperture Radar Images,
IEEE Top Reference. BibRef 9500
Building Wide Area 2D Site Models from High Resolution Polarimetric Synthetic Aperture Radar Images,
UMD-CAR-TR-776, June 1995. Process SAR data to recognize objects. BibRef

Shekhar, C., Kuttikkad, S., Chellappa, R., Thonnat, M.,
Knowledge Based Integration of IU Algorithms,
ICPR96(IV: 599-605).
And: UMDTR3578, 1995. BibRef
Earlier: A1, A2, A3 only. ARPA96(1525-1532). Use the basic context of the scene, noise, type of scene, type of objects, etc. to choose parameters or algorithms. Choose thresholds for SAR segmentation.
WWW Link. (Univ. of Maryland, USA) BibRef

Chellappa, R., Kuttikkad, S., Meth, R., Burlina, P., Eom, K., Shekhar, C.,
Model-Supported Exploitation of SAR Imagery,
ARPA96(389-408). Apply context to the analysis of SAR. BibRef 9600

Chellappa, R., Burlina, P., Lin, C.L., Kuttikkad, S., Zhangd, X.,
Context-Based Exploitation of Remotely Sensed Imagery,
Context95(xx) BibRef 9500

Chellappa, R., Zheng, Q., Shekhar, C., Burlina, P.,
Site Model Supported Targeting,
Radius97(357-369). BibRef 9700

Loodts, J.,
From Large-Scale DTM Extraction to Feature Extraction,
Ascona97(53-62). BibRef 9700

Roux, M.[Michel], Maitre, H.[Henri],
Three-Dimensional Description of Dense Urban Areas Using Maps and Aerial Images,
Ascona97(311-322). Combine scanned maps and images. Use the road network (from the map given in different colors), extracted buildings and stereo. Use 2 building extraction methods to complement each other. BibRef 9700

Fradkin, M., Maître, H., Roux, M.,
Building Detection from Multiple Aerial Images in Dense Urban Areas,
CVIU(82), No. 3, June 2001, pp. 181-207.
DOI Link 0108
Earlier: A1, A3, A2:
Building Detection from Multiple Views,
ISPRSGIS99(81-86). The approach is based on accurate surface reconstruction, followed by extraction of building façades that are used as a main cue for building detection. Find building facade regions (i.e. those that are vertical) using a Hough-like technique. From these get the building areas. BibRef

Roux, M., Maître, H.,
Some More Steps Towards 3D Reconstruction of Urban Areas from Multiple Views,
Ascona01(135-147). One approach: Fuse pairwise information. Second: fusion of correlation curves. Third is direct scanning of the 3D space and the comparison of image values at image projection locations. 0201

Fradkin, M., Roux, M., Maitre, H., Leloglu, U.M.,
Surface Reconstruction from Multiple Aerial Images in Dense Urban Areas,
CVPR99(II: 262-267).
IEEE DOI 3D to get elevation. Region segmentation to get area, and then combine. Uses: See also Automatic Reconstruction of Piecewise Planar Models from Multiple Views. BibRef 9900

Quint, F.[Franz],
MOSES: A Structural Approach to Aerial Image Understanding,
Ascona97(323-332). Map Oriented Semantic image understanding. Given models, recognize them in the image. BibRef 9700

Schilling, K.J.[Klaus-Jurgen], Vogtle, T.[Thomas],
An Approach for the Extraction of Settlement Areas,
Ascona97(333-342). From satellite images. Use the existing database to find most areas, then the statistics form those areas to extract the others. BibRef 9700

Schickler, W.[Wolfgang],
A Virtual Reality Model of a Major International Airport,
Ascona97(367-376). VMRL and photo rendering. BibRef 9700

Abdelguerfi, M.[Mahdi], (Ed.),
3D Synthetic Environment Reconstruction,
KluwerApril 2001. ISBN 0-7923-7321-9.
WWW Link. Seven invited chapters. 3D geospatial data collection, design, texhniques. Buy this book: 3D Synthetic Environment Reconstruction (The Springer International Series in Engineering and Computer Science) BibRef 0104

Leberl, F.[Franz], Bischof, H.[Horst], Pock, T.[Thomas], Irschara, A.[Arnold], Kluckner, S.[Stefan],
Aerial Computer Vision for a 3D Virtual Habitat,
Computer(43), No. 6, June 2010, pp. 24-31.
The site is the entire earth. I.e. 3D with details (inside of buildings). BibRef

Armenteras, D.[Dolors], González, T.M.[Tania Marisol], Luque, F.J.[Francisco Javier], López, D.[Denis], Rodríguez, N.[Nelly],
Methodology for Evaluating the Quality of Ecosystem Maps: A Case Study in the Andes,
IJGI(5), No. 8, 2016, pp. 144.
DOI Link 1609

Jarzabek-Rychard, M., Karpina, M.,
Quality Analysis On 3d Buidling Models Reconstructed From UAV Imagery,
ISPRS16(B1: 1121-1126).
DOI Link 1610

Guercke, R.[Richard], Brenner, C.[Claus], Sester, M.[Monika],
Generalization of 3D City Models as a Service,
PDF File. 0912

Madden, M., Zhao, H., Jordan, T.R., Blankenship, M., Masour, J., Yang, H., Corn, J.L.,
Context-aware Analysis, Geovisualisation And Virtual Globes For Managing Earth Resources,
VCGVA09(xx-yy). 0910
Web-based, Visualization, Segmentation, Decision Support, Databases, Resources, Management BibRef

Zheng, Y.T.[Yan-Tao], Zhao, M.[Ming], Song, Y.[Yang], Adam, H.[Hartwig], Buddemeier, U.[Ulrich], Bissacco, A.[Alessandro], Brucher, F.[Fernando], Chua, T.S.[Tat-Seng], Neven, H.[Hartmut],
Tour the world: Building a web-scale landmark recognition engine,

Tanaka, K.[Kanji],
Multiscan-based map optimizer for RFID map-building with low-accuracy measurements,

Vaduva, C.[Corina], Faur, D.[Daniela], Popescu, A.[Anca], Gavat, I.[Inge], Datcu, M.[Mihai],
Semantic Map Generation from Satellite Images for Humanitarian Scenarios Applications,
Springer DOI 0810

Hutton, J., Ip, A.[Alan], Bourke, T., Scherzinger, B., Gopaul, N., Canter, P., Oveland, I., Blankenberg, L.,
Tight Integration of GNSS Post-processed Virtual Reference Station with Inertial Data for Increased Accuracy and Productivity of Airborne Mapping,
ISPRS08(B5: 829 ff).
PDF File. 0807

Moussa, A.M.[Adel Mohamed], El-Sheimy, N.[Naser],
Automatic classification and 3D modeling of lidar data,
PDF File. 1009
Man-made object classification from satellite/aerial imagery using neural networks,
PDF File. 1006

Hassan, T.[Taher], El-Sheimy, N.[Naser],
Common Adjustment of Land-Based and Airborne Mobile Mapping System Data,
ISPRS08(B5: 835 ff).
PDF File. 0807

Steinicke, F.[Frank], Hinrichs, K.[Klaus], Ropinski, T.[Timo],
A Hybrid Decision Support System for 3D City Planning,
PDF File. 0607

Cartwright, W.E.[William E.],
Using 3D Models for Visualizing 'The City as it Might be',
PDF File. 0607

Sequeira, V., Bostrom, G., Fiocco, M., Puig, D., Goncalves, J.G.M.,
3D Site Modelling and Verification of Plant Design for Nuclear Security Applications,
SafeSecur05(III: 127-127).

Shimizu, H., Gunadi, C.R., Kodama, K., Aizawa, K.,
Three dimensional modeling of large-scale real environment by fusing range data, texture images, and airborne altimetry data,
ICIP02(II: 537-540).
Earlier: A2, A1, A3, A4:
Construction of large-scale virtual environment by fusing range data,texture images, and airborne altimetry data,
3DPVT02(772-775). 0206

Leberl, F.W., Walcher, W., Wilson, R., Gruber, M.,
Models of Urban Areas for Line-of-Sight Analyses,
ISPRSGIS99(217-226). From the commercial point of view, telecommunications firms ask for rates of $100/KMsq, or about $0.10/building. A combined manual and automatic system can achieve rates of $200 and 1000 buildings per hour. Need more than just line of sight, you need to connect it with the GIS information for addresses. Laser scanner systems are not currently competetive due to the high data costs and the need for analysis afterward. BibRef 9900

Soule, S., Maurice, K., Walcher, W., Szabo, J.,
Advanced point cloud generation for photogrammetric modeling of complex 3D objects,
ICIP02(III: 529-532).

Heller, A.J.[Aaron J.], Fischler, M.A.[Martin A.], Bolles, R.C.[Robert C.], Connolly, C.I.[Christopher I.], Wilson, R.[Robert], Pearson, J.J.[James J.],
An Integrated Feasibility Demonstration for Automatic Population of Geospatial Databases,
DARPA98(403-426). BibRef 9800
Earlier: A2, A3, A1 only: DARPA97(759-766). BibRef

Fua, P.,
Model-Based Optimization: An Approach to Fast, Accurate and Consistent Site Modeling,
Radius97(129-152). BibRef 9700
Model-Based Optimization: Accurate and Consistent Site Modeling,
IAPRS(31), No. B3 Part III, 1996, pp. 222-233. Geometric and photometric constraints. See also Fast, Accurate and Consistent Modeling of Drainage and Surrounding Terrain. BibRef

Heller, A.J., Fua, P., Connolly, C.I.,
The Site-Model Construction Component of the RADIUS Testbed System,
ARPA96(345-356). BibRef 9600

Fua, P.,
Cartographic Applications of Model-Based Optimization,
ARPA96(409-420). BibRef 9600

Liu, X., Haralick, R.M., Thornton, K.B.,
Site Model Construction Using Geometric Constrained Optimization,
ARPA96(357-372). BibRef 9600

Hoogs, A.J.[Anthony J.], and Kniffin, B.[Bethany],
Database Support for Exploitation Image Understanding,
Radius97(401-408). BibRef 9700
And: A2, A1: ARPA96(421-428). BibRef

Hsieh, Y.,
SiteCity: A Semi-Automated Site Modeling System,
IEEE DOI BibRef 9600
Design and Evaluation of a Semi-Automated Site Modeling System,
ARPA96(435-460). BibRef
And: CMU-CS-TR-95-195, November 1995. BibRef

Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
Site Model Registration, Georeference, Geo-Registeration .

Last update:Mar 13, 2017 at 16:25:24