Neptec,
1990.
HTML Version.
Vendor, 3-D Modeling. E.g. 3D information for control of Shuttle arm.
Verly, J.G.,
Delanoy, R.L.,
Model-Based Automatic Target Recognition (ATR) System for
Forward-Looking Groundbased and Airborne Imaging Laser Radars (Ladar),
PIEEE(84), No. 2, February 1996, pp. 126-163.
Ladar.
BibRef
9602
Dudgeon, D.E.[Dan E.],
LaCoss, R.T.[Richard T.], and
Verly, J.G.[Jacques G.],
Model-Based Automatic Target Recognition System for the UGV/RSTA
Ladar,
ARPA94(I:559-583).
BibRef
9400
Won, Y.G.,
Gader, P.D.,
Coffield, P.C.,
Morphological Shared-Weight Networks with Applications to
Automatic Target Recognition,
TNN(8), No. 5, September 1997, pp. 1195-1203.
9709
See also Generalizations of Morphological Shared Weight Networks Using Choquet Integrals with Applications to Ground Penetrating Radar Based Land Mine Detection.
BibRef
Khabou, M.A.,
Gader, P.D.,
Shi, H.,
Entropy Optimized Morphological Shared-Weight Neural Networks,
OptEng(38), No. 2, February 1999, pp. 263-273.
BibRef
9902
Hocaoglu, A.K.[Ali K.],
Gader, P.D.[Paul D.],
Domain learning using Choquet integral-based morphological shared
weight neural networks,
IVC(21), No. 7, July 2003, pp. 663-673.
Elsevier DOI
0307
BibRef
Khabou, M.A.[Mohamed A.],
Gader, P.D.[Paul D.],
Keller, J.M.[James M.],
LADAR Target Detection Using Morphological Shared-Weight Neural
Networks,
MVA(11), No. 6, 2000, pp. 300-305.
Springer DOI
0005
BibRef
Khabou, M.A.,
Gader, P.D.,
Keller, J.M.,
Morphological Shared-Weight Neural Networks: A Tool for Automatic
Target Recognition Beyond the Visible Spectrum,
CVBVS99(101).
IEEE DOI
BibRef
9900
Zheng, Q.F.[Qin-Fen],
Der, S.Z.,
Mahmoud, H.I.A.,
Model-Based Target Recognition in Pulsed Ladar Imagery,
IP(10), No. 4, April 2001, pp. 565-572.
IEEE DOI
0001
BibRef
Earlier:
A1, A2, and
Chellappa, R.[Rama],
CVPR98(515-520).
IEEE DOI
BibRef
Mahmoud, H.I.A.[Hesham I.A.],
Multi-look Model-based Target Recognition in Pulsed Ladar Imagery,
UMD--TR4040, August 1999.
WWW Link.
BibRef
9908
Gronwall, C.,
Gustafsson, F.,
Millnert, M.,
Ground Target Recognition Using Rectangle Estimation,
IP(15), No. 11, November 2006, pp. 3400-3408.
IEEE DOI
0610
Laser data.
Manmade objects can be decomposed into rectangles.
Size, Orientation, Segmentation into rectangular parts, matching
with CAD models.
BibRef
Karlsson, A.[Anders],
Bjärkefur, J.[Jon],
Rydell, J.[Joakim],
Grönwall, C.[Christina],
Smoothing-Based Submap Merging in Large Area SLAM,
SCIA11(134-145).
Springer DOI
1105
BibRef
Grönwall, C.[Christina],
Tolt, G.[Gustav],
Target Segmentation in Scenes with Diverse Background,
SCIA11(708-718).
Springer DOI
1105
BibRef
Nayegandhi, A.[Amar],
Brock, J.C.[John C.],
Wright, C.W.[C. Wayne],
O'Connell, M.J.[Michael J.],
Evaluating A Small Footprint, Waveform-resolving Lidar Over Coastal
Vegetation Communities,
PhEngRS(72), No. 12, December 2006, pp. 1407-1417.
WWW Link.
0704
A new method based on the synthesis of individual, smallfootprint
lidar waveforms to characterize vegetation canopy structure.
BibRef
Zhang, J.X.[Ji-Xian],
Lin, X.G.[Xiang-Guo],
Ning, X.G.[Xiao-Gang],
SVM-Based Classification of Segmented Airborne LiDAR Point Clouds in
Urban Areas,
RS(5), No. 8, 2013, pp. 3749-3775.
DOI Link
1309
BibRef
Lin, X.G.[Xiang-Guo],
Zhang, J.X.[Ji-Xian],
Shen, J.[Jing],
Object-Based Classification of Airborne LiDAR Point Clouds with
Multiple Echoes,
ISIDF11(1-4).
IEEE DOI
1111
BibRef
Zhang, J.X.[Ji-Xian],
Lin, X.G.[Xiang-Guo],
Object-based Classification Of Urban Airborne Lidar Point Clouds With
Multiple Echoes Using Svm,
AnnalsPRS(I-3), No. 2012, pp. 135-140.
DOI Link
1209
BibRef
Lin, X.G.[Xiang-Guo],
Zhang, J.X.[Ji-Xian],
Segmentation-Based Filtering of Airborne LiDAR Point Clouds by
Progressive Densification of Terrain Segments,
RS(6), No. 2, 2014, pp. 1294-1326.
DOI Link
1403
BibRef
Lin, X.G.[Xiang-Guo],
Zhang, J.X.[Ji-Xian],
Segmentation-Based Ground Points Detection from Mobile Laser Scanning
Point Cloud,
IWIDF15(99-102).
DOI Link
1508
BibRef
Matteoli, S.,
Corsini, G.,
Diani, M.,
Cecchi, G.,
Toci, G.,
Automated Underwater Object Recognition by Means of Fluorescence
LIDAR,
GeoRS(53), No. 1, January 2015, pp. 375-393.
IEEE DOI
1410
compensation
BibRef
Matteoli, S.,
Diani, M.,
Corsini, G.,
ARTEMIdE: An Automated Underwater Material Recognition Method for
Fluorescence LIDAR Invariant to Environmental Conditions,
GeoRS(58), No. 3, March 2020, pp. 1763-1776.
IEEE DOI
2003
Fluorescence light detection and ranging (LIDAR), invariance,
LIDAR simulator, material discriminability,
underwater object detection and recognition
BibRef
Zhou, M.[Mei],
Xia, B.[Bing],
Su, G.Z.[Guo-Zhong],
Tang, L.L.[Ling-Li],
Li, C.R.[Chuan-Rong],
Study on the Target Feature Extraction from LIDAR Point Clouds,
ISPRS08(B3b: 309 ff).
PDF File.
0807
BibRef
Mumtaz, S.A.,
Mooney, K.,
A Semi-automatic Approach to Object Extraction from a Combination of
Image and Laser Data,
CMRT09(53-58).
PDF File.
0909
BibRef
Mumtaz, S.A.,
Mooney, K.,
Extracting of Spatial Information in the Environment of Irish Road
Using Airborne Laser Scanning,
ISPRS08(B3b: 191 ff).
PDF File.
0807
BibRef
Felip, R.L.,
Binefa, X.,
Diaz-Caro, J.,
Discerning Objects from Ground and Target Pose Estimation in ladar Data
using Robust Statistics,
ICIP06(2109-2112).
IEEE DOI
0610
BibRef
Charaniya, A.P.[Amin P.],
Manduchi, R.[Roberto],
Lodha, S.K.[Suresh K.],
Supervised Parametric Classification of Aerial LiDAR Data,
Sensor3D04(30).
IEEE DOI
0406
BibRef
Davis, L.S.[Larry S.],
Harwood, D.[David],
Philomin, V.[Vasanth],
Appearance-Based Automatic Target Recognition in
Overhead LADAR Range Imagery,
ICPR98(Vol II: 1320-1324).
IEEE DOI
9808
See also Vehicle Detection Using Partial Least Squares.
BibRef
Der, S.Z.[Sandor Z.], and
Zheng, Q.F.[Qin-Fen],
Empirical Evaluation of Laser Radar Recognition Algorithms
Using Synthetic and Real Data,
EEMTV98(xx)
BibRef
9800
Beveridge, J.R.[J. Ross],
Fuegi, A.[Aaron],
Goss, M.E.[Michael E.], and
Stevens, M.R.[Mark R.],
Visualization and Verification of Automatic Target Recognition
Results Using Combined Range and Optical Imagery,
ARPA94(I:491-494).
PS File.
BibRef
9400
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
ATR -- Sonar, Acoustic .