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,
SCV95(389-394).
IEEE DOI
BibRef
9500
And:
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).
IEEE DOI
9608
BibRef
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.,
Zhang, 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
BibRef
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
BibRef
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)
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.
IEEE DOI
1007
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
BibRef
He, X.J.[Xian-Jin],
Zhang, X.C.[Xin-Chang],
Xin, Q.C.[Qin-Chuan],
Recognition of building group patterns in topographic maps based on
graph partitioning and random forest,
PandRS(136), 2018, pp. 26-40.
Elsevier DOI
1802
Building groups, Graph partitioning,
Machine learning, Cartography
BibRef
Lehner, A.[Arthur],
Blaschke, T.[Thomas],
A Generic Classification Scheme for Urban Structure Types,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Ngo, K.D.[Khanh D.],
Nghiem, S.V.[Son V.],
Lechner, A.M.[Alex M.],
Vu, T.T.[Tuong T.],
Building Structure Mapping on Level Terrains and Sea Surfaces in
Vietnam,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Zhang, X.G.[Xing-Guo],
Shi, X.Y.[Xin-Yu],
Luo, X.Y.[Xiao-Yue],
Sun, Y.P.[Yin-Ping],
Zhou, Y.D.[Ying-Di],
Real-Time Web Map Construction Based on Multiple Cameras and GIS,
IJGI(10), No. 12, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Guercke, R.[Richard],
Brenner, C.[Claus],
Sester, M.[Monika],
Generalization of 3D City Models as a Service,
CityModels09(xx-yy).
PDF File.
0912
BibRef
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,
CVPR09(1085-1092).
IEEE DOI
0906
BibRef
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,
ACIVS08(xx-yy).
Springer DOI
0810
BibRef
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
BibRef
Moussa, A.M.[Adel Mohamed],
El-Sheimy, N.[Naser],
Automatic classification and 3D modeling of lidar data,
PCVIA10(B:155).
PDF File.
1009
BibRef
Earlier:
Man-made object classification from satellite/aerial imagery using
neural networks,
CGC10(72).
PDF File.
1006
BibRef
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
BibRef
Steinicke, F.[Frank],
Hinrichs, K.[Klaus],
Ropinski, T.[Timo],
A Hybrid Decision Support System for 3D City Planning,
IfromI06(xx-yy).
PDF File.
0607
BibRef
Cartwright, W.E.[William E.],
Using 3D Models for Visualizing 'The City as it Might be',
IfromI06(xx-yy).
PDF File.
0607
BibRef
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).
IEEE DOI
0507
BibRef
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
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
Earlier:
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,
CVPR96(499-506).
IEEE DOI
BibRef
9600
Earlier:
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, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Site Model Registration, Georeference, Geo-Registeration .