24.8.7 LIDAR, LADAR -- Range data

Chapter Contents (Back)
ATR. LADAR.
See also Calibration -- Lidar, Laser Scanner, Depth Sensor, Scanner Error Analysis.

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


Dalbah, Y.[Yosef], Rohr, S.[Stephan], Wahl, F.M.[Friedrich M.],
Detection of dynamic objects for environment mapping by time-of-flight cameras,
ICIP14(971-975)
IEEE DOI 1502
Cameras 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 .


Last update:Mar 16, 2024 at 20:36:19