22.9.1 ATR -- Survey, Review, Evaluation, General Discussions

Chapter Contents (Back)
Survey, ATR. ATR. Evaluation, ATR.

Holmes, W.S.,
Automatic Photointerpretation and Target Location,
PIEEE(54), 1966, pp. 1679-1686. BibRef 6600

Bhanu, B.,
Automatic Target Recognition: State of the Art Survey,
AeroSys(22), No. 4, July 1986, pp. 364-379. Survey, ATR. ATR, Survey. Application, ATR. BibRef 8607

Bhanu, B., and Jones, T.L.,
Image Understanding Research for Automatic Target Recognition,
AeroSysMag(8), No. 10, October 1993, pp. 15-23. Journal volume may be wrong. BibRef 9310

Trinder, J.C.,
Precision of Digital Target Location,
PhEngRS(55), June 1989, pp. 883-886. BibRef 8906

Trinder, J.C., Jansa, J., Huang, Y.,
An Assessment of the Precision and Accuracy of Methods of Digital Target Location,
PandRS(50), No. 2, April 1995, pp. 12-20. BibRef 9504

Rogers, S.K., Colombi, J.M., Martin, C.E., Gainey, J.C., Fielding, K.H., Burns, T.J., Ruck, D.W., Kabrisky, M., Oxley, M.,
Neural Networks for Automatic Target Recognition,
NeurNet(8), No. 7-8, 1995, pp. 1153-1184. BibRef 9500

Johnston, S.L.,
Target Model Pitfalls (Illness, Diagnosis, and Prescription),
AeroSys(33), No. 2, Part 2, April 1997, pp. 715-720. 9704
BibRef

Succary, R., Maltz, M., Hadar, O., Rotman, S.R., Kopeika, N.S.,
Relative Effects of Distortion and Noise on Target Acquisition: The Advisability of Image Restoration,
OptEng(37), No. 7, July 1998, pp. 1914-1922. 9808
BibRef

Matchko, R.M., Gerhart, G.R.,
Parametric Analysis of the Blackwell-McCready Data,
OptEng(37), No. 7, July 1998, pp. 1937-1944. 9808
BibRef

Meitzler, T.J., Kistner, R.W., Pibil, W.T., Sohn, E., Bryk, D., Bednarz, D.,
Computing the Probability of Target Detection in Dynamic Visual Scenes Containing Clutter Using Fuzzy Logic Approach,
OptEng(37), No. 7, July 1998, pp. 1951-1959. 9808
BibRef

Melamed, R., Yitzhaky, Y., Kopeika, N.S., Rotman, S.R.,
Experimental Comparison of 3 Target Acquisition Models,
OptEng(37), No. 7, July 1998, pp. 1902-1913. 9808
BibRef

Williams, L.R.[Lance R.], Thornber, K.K.[Karvel K.],
A Comparison of Measures for Detecting Natural Shapes in Cluttered Backgrounds,
IJCV(34), No. 2-3, August 1999, pp. 81-96.
DOI Link BibRef 9908 ECCV98(II: 432).
Springer DOI BibRef

Milisavljevic, N.[Nada],
Comparison of three methods for shape recognition in the case of mine detection,
PRL(20), No. 11-13, November 1999, pp. 1079-1083. 0001
BibRef

Chang, C.I.[C. I], Ren, H.,
An Experiment-Based Quantitative and Comparative Analysis of Target Detection and Image Classification Algorithms for Hyperspectral Imagery,
GeoRS(38), No. 2, March 2000, pp. 1044-1063.
IEEE Top Reference. 0004
BibRef

Xue, B., Yu, C., Wang, Y., Song, M., Li, S., Wang, L., Chen, H.M., Chang, C.I.,
A Subpixel Target Detection Approach to Hyperspectral Image Classification,
GeoRS(55), No. 9, September 2017, pp. 5093-5114.
IEEE DOI 1709
hyperspectral imaging, image classification, iterative methods, support vector machines, Gaussian filters, Otsu method, band selection, constrained energy minimization, nonlinear band expansion, spatial information, BibRef

Wang, Y., Lee, L.C., Xue, B., Wang, L., Song, M., Yu, C., Li, S., Chang, C.I.,
A Posteriori Hyperspectral Anomaly Detection for Unlabeled Classification,
GeoRS(56), No. 6, June 2018, pp. 3091-3106.
IEEE DOI 1806
Anomaly detection, Computer science, Correlation, Detectors, Hyperspectral imaging, Object detection, unlabeled anomaly classification (UAC) BibRef

Deaett, M.A.[Michael A.], DeGraaf, E.J.[Erik J.], Johnson, S.G.[Stephen G.], Norcross, M.L.[Melinda L.], Pawlak, A.J.[Anthony J.],
Method and system for imaging target detection,
US_Patent6,072,889, 06/06/2000.
HTML Version. Features on grouped pixels. BibRef 0006

Fdez-Vidal, X.R.[Xose R.], Rodriguez-Sanchez, R.[Rosa], Garcia, J.A., Fdez-Valdivia, J.,
Integral opponent-colors features for computing visual target distinctness,
PR(33), No. 7, July 2000, pp. 1179-1198.
Elsevier DOI 0005
BibRef

García, J.A.[Jose A.], Fdez-Valdivia, J.[Joaquín], Fdez-Vidal, X.R.[Xose R.], and Rodriguez-Sánchez, R.[Rosa],
Information Theoretic Measure for Visual Target Distinctness,
PAMI(23), No. 4, April 2001, pp. 362-383.
IEEE DOI 0104
An approach to a model for target distinctness that can be used rather than extensive human testing. BibRef

Jain, A.[Avinash], Moulin, P.[Pierre], Miller, M.I.[Michael I.], Ramchandran, K.[Kannan],
Information-Theoretic Bounds on Target Recognition Performance Based on Degraded Image Data,
PAMI(24), No. 9, September 2002, pp. 1153-1166.
IEEE Abstract. 0209
Analysis of effects of nois on recognition.l BibRef

Byrnes, J.[Jim], (Ed.)
Imaging for Detection and Identification,
Springer2007, ISBN: 978-1-4020-5618-5. And ISBN 978-1-4020-5619-2. Survey, ATR. 2 Volumes. Covers: The mathematics and computer science of automatic detection and identification; Image processing techniques for radar and sonar; Detection of anomalies in biomedical and chemical images.
WWW Link. And:
WWW Link. Buy this book: Imaging for Detection and Identification (NATO Science for Peace and Security Series / NATO Science for Peace and Security Series B: Physics and Biophysics) BibRef 0700


Canady, J.D.[Jonroy D.], Marathe, A.R.[Amar R.], Herman, D.H.[David H.], Files, B.T.[Benjamin T.],
A Maximum Likelihood Method for Estimating Performance in a Rapid Serial Visual Presentation Target-Detection Task,
VAMR18(I: 383-392).
Springer DOI 1807
BibRef

Ralph, S.K., Irvine, J.M., Snorrason, M., Stevens, M.R., Vanstone, D.,
An image metric-based ATR performance prediction testbed,
AIPR05(192-197).
IEEE DOI 0510
BibRef
And: A1, A2, A3, A5, Only: AIPR06(33-33).
IEEE DOI 0610
BibRef

Ralph, S.K., Irvine, J.M., Stevens, M.R., Snorrason, M., Gwilt, D.,
Assessing the performance of an automated video ground truthing application,
AIPR04(202-207).
IEEE DOI 0410
BibRef

Theiler, J., Harvey, N.R., David, N.A., Irvine, J.M.,
Approach to target detection based on relevant metric for scoring performance,
AIPR04(184-189).
IEEE DOI 0410
BibRef

Mariano, V.Y., Min, J.H.[Jung-Hye], Park, J.H.[Jin-Hyeong], Kasturi, R., Mihalcik, D., Li, H.P.[Hui-Ping], Doermann, D., Drayer, T.,
Performance evaluation of object detection algorithms,
ICPR02(III: 965-969).
IEEE DOI 0211
BibRef

Liu, G.[Gang], Haralick, R.M.[Robert M.],
Vehicle Ground-truth Database for the Vertical-view Ft. Hood Imagery,
ICPR00(Vol I: 342-345).
IEEE DOI 0009
Evaluation, Vehicles. BibRef

Stanford, D.,
Multiresolution Hidden Markov Trees for Analysis of Automatic Target Recognition Algorithms,
ICIP00(Vol II: 942-945).
IEEE DOI 0008
BibRef

Rosario, D.S.,
Simultaneous multitarget detection and false alarm mitigation algorithm for the Predator UAV TESAR ATR system,
CIAP99(577-581).
IEEE DOI 9909
BibRef

Doria, D.M.[David M.],
ATR Performance Prediction with Feature Based Optimization,
DARPA98(731-746). BibRef 9800

Liu, G.[Gang], Zhuge, F.[Feng], Gong, L.X.[Li-Xin], Haralick, R.M.[Robert M.],
Performance Evaluation of the CFAR Vehicle Detection Algorithm,
DARPA98(1229-1234). BibRef 9800

Clark, L.G., Velten, V.J.,
Image Characterization for Automatic Target Recognition Algorithm Evaluations,
PESIPS93(XX-YY). BibRef 9300

Oh, Y., Cook, M.,
Analytical Modeling for Automatic Target Recognition Performance Evaluation,
PESIPS93(XX-YY). BibRef 9300

Sadjadi, F.,
Experimental Design Methodology: The Scientific Tool for Performance Evaluation,
PESIPS93(XX-YY). BibRef 9300

Sadjadi, F.A.,
Applications Of Image Metrics In Dynamic Scene Adaptation,
PESIPS93(XX-YY). BibRef 9300

Sadjadi, F.,
Performance Evaluation Of A Texture-Based Segmentation Algorithm,
PESIPS93(XX-YY). BibRef 9300

Nasr, H., Sadjadi, F.,
Automatic Target Recognition Algorithm Performance Evaluation: The Bottleneck in the Development Life Cycle,
PESIPS93(XX-YY). BibRef 9300

Au, W., Roberts, B.,
Overview of a Self-Adaptive ATR System via Context-Based Configuration and Control,
ARPA96(585-588). BibRef 9600

Gilfillan, L.[Lynne], and Yachik, T.R.[Theodore R.],
User-Centered Evaluation (UCE) Methods and Metrics,
ARPA94(I:541-547). BibRef 9400

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
ATR -- Clutter, Background Issues .


Last update:Nov 12, 2018 at 11:26:54