22.9.5 ATR -- IR, Infra-Red, Thermal, Applications

Pau, L.F., El Nahas, M.M.Y.,
An infra-red source classification system,
PR(14), No. 1-6, 1981, pp. 283-288.
Elsevier DOI 0309
BibRef

Chen, C.H., Yen, C.S.,
Object Isolation in FLIR Images using Fisher's Linear Discriminant,
PR(15), No. 3, 1982, pp. 153-159.
Elsevier DOI BibRef 8200

Sevigny, L., Hvedstrup-Jensen, G., Bohner, M., Ostevold, E., Grinaker, S., Dehne, J.,
Discrimination and Classification of Vehicles in Natural Scenes from Thermal Imagery,
CVGIP(24), No. 2, November 1983, pp. 229-243.
Elsevier DOI BibRef 8311

Gerhart, G.R., Bednarz, E.L., Meitzler, T.J., Sohn, E., Karlsen, R.E.,
Target Acquisition Methodology for Visual and Infrared Imaging Sensors,
OptEng(35), No. 10, October 1996, pp. 3026-3036. 9611
BibRef

Meitzler, T.J., Singh, H., Arefeh, L., Sohn, E., Gerhart, G.R.,
Predicting the Probability of Target Detection in Static Infrared and Visual Scenes Using the Fuzzy-Logic Approach,
OptEng(37), No. 1, January 1998, pp. 10-17. 9802
BibRef

Meitzler, T.J., Karlsen, R.E., Gerhart, G.R., Sohn, E., Singh, H.,
Wavelet Transforms of Cluttered Images and Their Application to Computing the Probability of Detection,
OptEng(35), No. 10, October 1996, pp. 3019-3025. 9611
Wavelets. BibRef

Meitzler, T.J., Singh, H.,
2-D Wavelet Image Transforms Extended to 3-D With Applications,
AeroSys(34), No. 3, July 1998, pp. 963-967. 9808
BibRef

Meitzler, T.J., Gerhart, G.R., Sohn, E., Singh, H.,
Detection Probability Using Relative Clutter in Infrared Images,
AeroSys(34), No. 3, July 1998, pp. 955-962. 9808
BibRef

Whiteley, M.R., Roggemann, M.C., Johnson, R.O., Rogers, S.K.,
Detection of Military Vehicles Using Infrared Spectral Radiometric Signatures,
OptEng(35), No. 12, December 1996, pp. 3531-3548. 9701
BibRef

Bernard, M.E.,
Detection of Airborne Compact Sources in Infra-Red Scenes Using Syntactic Pattern Recognition,
PRL(10), 1989, pp. 123-126. BibRef 8900

Der, S.Z., Chellappa, R.,
Probe-Based Automatic Target Recognition In Infrared Imagery,
IP(6), No. 1, January 1997, pp. 92-102.
IEEE DOI 9703
BibRef
Earlier:
Probe Based Recognition of Targets in Infrared Images,
CVPR94(870-875).
IEEE DOI Probes appear to be specific features computed from pairs of image points (a bunch of differences). BibRef

Lanterman, A.D., Miller, M.I., Snyder, D.L.,
General Metropolis-Hastings Jump Diffusions for Automatic Target Recognition in Infrared Scenes,
OptEng(36), No. 4, April 1997, pp. 1123-1137. 9705
BibRef

Ernisse, B., Rogers, S.K., Desimio, M.P., Raines, R.A.,
Complete Automatic Target Cuer/Recognition System for Tactical Forward-Looking Infrared Images,
OptEng(36), No. 9, September 1997, pp. 2593-2603. 9710
BibRef

Fairhurst, A.M., Lettington, A.H.,
Method of Predicting the Probability of Human Observers Recognizing Targets in Simulated Thermal Images,
OptEng(37), No. 3, March 1998, pp. 744-751. 9804
BibRef

Nandhakumar, N., Michel, J.D., Arnold, D.G., Tsihrintzis, G.A., Velten, V.,
Robust Thermophysics-Based Interpretation of Radiometrically Uncalibrated IR Images for ATR and Site Change Detection,
IP(6), No. 1, January 1997, pp. 65-78.
IEEE DOI 9703
BibRef
Earlier: A3, A2, A1, A4, A5: ARPA96(943-960). See also Thermophysical Algebraic Invariants from Infrared Imagery for Object Recognition. See also Invariants of the LWIR Thermophysical Model. BibRef

Michel, J.D., Nandhakumar, N., Saxena, T.[Tushar], Kapur, D.[Deepak],
Geometric, Algebraic, and Thermophysical Techniques for Object Recognition in IR Imagery,
CVIU(72), No. 1, October 1998, pp. 84-97.
DOI Link BibRef 9810

Nair, D., Aggarwal, J.K.,
Bayesian recognition of targets by parts in second generation forward looking infrared images,
IVC(18), No. 10, July 2000, pp. 849-864.
Elsevier DOI 0005
BibRef

Zhao, H., Shah, S., Choi, J.H., Nair, D., Aggarwal, J.K.,
Robust Automatic Target Detection/recognition System in Second Generation FLIR Imagery,
WACV98(262-263).
IEEE DOI 9809
BibRef

Aggarwal, J.K., Shah, S.[Shishir],
Object recognition and performance bounds,
CIAP97(I: 343-360).
Springer DOI 9709
BibRef

Nair, D., and Aggarwal, J.K.,
Robust Automatic Target Recognition in Second Generation FLIR Images,
WACV96(194-201).
IEEE DOI 9609
BibRef

Nair, D., Aggarwal, J.K.,
A Focused Target Segmentation Paradigm,
ECCV96(I:579-588).
Springer DOI ATR in FLIR BibRef 9600

Nair, D., Aggarwal, J.K.,
Region/Edge-Based Target Segmentation of FLIR Images Modeled by Weibull/Gaussian Distributions,
TRComputer and Vision Research Center 97-05-110. 9702
BibRef

Ashton, E.A.,
Detection of Subpixel Anomalies in Multispectral Infrared Imagery Using an Adaptive Bayesian Classifier,
GeoRS(36), No. 2, March 1998, pp. 506-517.
IEEE Top Reference. 9804
BibRef

de Ridder, D., Schutte, K., Schwering, P.,
Vehicle Recognition in Infrared Images Using Shared Weight Neural Networks,
OptEng(37), No. 3, March 1998, pp. 847-857. 9804
BibRef

Shah, S.[Shishir], Aggarwal, J.K.,
Multiple Feature Integration for Robust Object Localization,
CVPR98(765-771).
IEEE DOI BibRef 9800

Chen, H.X., Shen, Z.K., Shen, J.J.,
Method for Searching Bridge in IR Images,
AeroSysMag(13), No. 7, July 1998, pp. 21-24. 9808
BibRef

Liu, G.[Gang], Haralick, R.M.[Robert M.],
FLIR ATR Using Location Uncertainty,
JEI(9), No. 2, April 2000, pp. xx. BibRef 0004

Strehl, A.[Alexander], Aggarwal, J.K.,
MODEEP: A motion-based object detection and pose estimation method for airborne FLIR sequences,
MVA(11), No. 6, 2000, pp. 267-276.
Springer DOI 0005
BibRef

Strehl, A.[Alexander], Aggarwal, J.K.,
Detecting Moving Objects in Airborne Forward Looking Infra-Red Sequences,
CVBVS99(3).
IEEE DOI 9906
BibRef

Diani, M., Corsini, G., Baldacci, A.,
Space-time processing for the detection of airborne targets in IR image sequences,
VISP(148), No. 3, June 2001, pp. 151-157. 0108
BibRef

Li, B.X.[Bao-Xin], Zheng, Q.F.[Qin-Fen], Der, S.Z.[Sandor Z.], Chellappa, R.[Rama], Nasrabadi, N.M.[Nasser M.], Chan, L.A.[Lipchen A.], and Wang, L.C.[Lin-Cheng],
Experimental Evaluation of FLIR ATR Approaches-A Comparative Study,
CVIU(84), No. 1, October 2001, pp. 5-24.
DOI Link 0203
BibRef
Earlier: A1, A4, A2, A3, A5, A6, A7:
Empirical Evaluation of Neural, Statistical and Model-based Approaches to FLIR ATR,
UMD--TR3881, March 1998. Automatic Target Recognition. Performance Analysis. Evaluation of algorithms based on: convolution neural networks (CNN), principal component analysis (PCA), linear discriminant analysis (LDA), learning vector quantization (LVQ), and modular neural networks (MNN). And model based algorithms using: Hausdorff metric based matching and geometric hashing.
WWW Link. BibRef

Bharadwaj, P.[Priya], Carin, L.[Lawrence],
Infrared-Image Classification Using Hidden Markov Trees,
PAMI(24), No. 10, October 2002, pp. 1394-1398.
IEEE Abstract. 0210
Using tree description for segmented data. BibRef

Briz, S., de Castro, A.J., Aranda, J.M., Meléndez, J., López, F.,
Reduction of false alarm rate in automatic forest fire infrared surveillance systems,
RSE(86), No. 1, 30 June 2003, pp. 19-29.
Elsevier DOI 0309
BibRef

Kim, S.H.[Sung-Ho], Kweon, I.S.[In-So],
3D target recognition using cooperative feature map binding under Markov Chain Monte Carlo,
PRL(27), No. 7, May 2006, pp. 811-821.
Elsevier DOI 3D infrared target recognition; Robust to noise; Cooperative feature map binding; Meaningful shape matching; MCMC optimization 0604
BibRef

Csiszar, I.A., Morisette, J.T., Giglio, L.,
Validation of Active Fire Detection From Moderate-Resolution Satellite Sensors: The MODIS Example in Northern Eurasia,
GeoRS(44), No. 7, Part 1, July 2006, pp. 1757-1764.
IEEE DOI 0606
BibRef

Umamaheshwaran, R., Bijker, W., Stein, A.,
Image Mining for Modeling of Forest Fires From Meteosat Images,
GeoRS(45), No. 1, January 2007, pp. 246-253.
IEEE DOI 0701
BibRef

Barshan, B.[Billur], Aytac, T.[Tayfun], Yuzbasioglu, C.[Cagri],
Target differentiation with simple infrared sensors using statistical pattern recognition techniques,
PR(40), No. 10, October 2007, pp. 2607-2620.
Elsevier DOI 0707
Target differentiation; Geometry differentiation; Surface differentiation; Statistical pattern recognition; Feature extraction; Infrared sensors; Optical sensing BibRef

Martinez-de Dios, J.R., Arrue, B.C., Ollero, A., Merino, L., Gomez-Rodriguez, F.,
Computer vision techniques for forest fire perception,
IVC(26), No. 4, April 2008, pp. 550-562.
Elsevier DOI 0711
Perception systems; Infrared and visual image processing; Forest fires; Sensor fusion BibRef

Naeger, A.R., Christopher, S.A., Ferrare, R., Liu, Z.,
A New Technique Using Infrared Satellite Measurements to Improve the Accuracy of the CALIPSO Cloud-Aerosol Discrimination Method,
GeoRS(51), No. 1, January 2013, pp. 642-653.
IEEE DOI 1301
BibRef

Sobrino, J.A., del Frate, F., Drusch, M., Jiménez-Muñoz, J.C., Manunta, P., Regan, A.,
Review of Thermal Infrared Applications and Requirements for Future High-Resolution Sensors,
GeoRS(54), No. 5, May 2016, pp. 2963-2972.
IEEE DOI 1604
geophysical techniques BibRef

Berg, A.[Amanda], Ahlberg, J.[Jörgen], Felsberg, M.[Michael],
Enhanced analysis of thermographic images for monitoring of district heat pipe networks,
PRL(83, Part 2), No. 1, 2016, pp. 215-223.
Elsevier DOI 1609
Remote thermography BibRef

Kim, S.[Sungho], Song, W.J.[Woo-Jin], Kim, S.H.[So-Hyun],
Double Weight-Based SAR and Infrared Sensor Fusion for Automatic Ground Target Recognition with Deep Learning,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef
Earlier:
Infrared Variation Optimized Deep Convolutional Neural Network for Robust Automatic Ground Target Recognition,
PBVS17(195-202)
IEEE DOI 1709
Convolution, Feature extraction, Meteorology, Optimization, Target recognition, Thermal noise, Training BibRef

Liu, R.[Rang], Wang, D.[Dejiang], Jia, P.[Ping], Sun, H.[He],
An Omnidirectional Morphological Method for Aerial Point Target Detection Based on Infrared Dual-Band Model,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
Single point targets. BibRef

Caseiro, A.[Alexandre], Rücker, G.[Gernot], Tiemann, J.[Joachim], Leimbach, D.[David], Lorenz, E.[Eckehard], Frauenberger, O.[Olaf], Kaiser, J.W.[Johannes W.],
Persistent Hot Spot Detection and Characterisation Using SLSTR,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
Gas flares. BibRef

Mia, M.B.[Md. Bodruddoza], Fujimitsu, Y.[Yasuhiro], Nishijima, J.[Jun],
Monitoring of Thermal Activity at the Hatchobaru-Otake Geothermal Area in Japan Using Multi-Source Satellite Images: With Comparisons of Methods, and Solar and Seasonal Effects,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Guo, X.[Xing], Wu, Z.S.[Zhen-Sen], Wu, J.J.[Jia-Ji], Cao, Y.H.[Yun-Hua],
Study of infrared reflection characteristics of aerial target using MODIS data on GPU,
RealTimeIP(14), No. 3, October 2018, pp. 643-655.
WWW Link. 1811
BibRef

Yang, D.[Dong_Won],
Detail-enhanced target segmentation method for thermal video sequences based on spatiotemporal parameter update technique,
IET-IPR(13), No. 1, January 2019, pp. 216-223.
DOI Link 1812
BibRef

Xia, C.Q.[Chao-Qun], Li, X.R.[Xiao-Run], Zhao, L.Y.[Liao-Ying],
Infrared Small Target Detection via Modified Random Walks,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Maes, W.H.[Wouter H.], Huete, A.R.[Alfredo R.], Avino, M.[Michele], Boer, M.M.[Matthias M.], Dehaan, R.[Remy], Pendall, E.[Elise], Griebel, A.[Anne], Steppe, K.[Kathy],
Can UAV-Based Infrared Thermography Be Used to Study Plant-Parasite Interactions between Mistletoe and Eucalypt Trees?,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Silvestri, M.[Malvina], Rabuffi, F.[Federico], Pisciotta, A.[Antonino], Musacchio, M.[Massimo], Diliberto, I.S.[Iole Serena], Spinetti, C.[Claudia], Lombardo, V.[Valerio], Colini, L.[Laura], Buongiorno, M.F.[Maria Fabrizia],
Analysis of Thermal Anomalies in Volcanic Areas Using Multiscale and Multitemporal Monitoring: Vulcano Island Test Case,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Marotta, E.[Enrica], Peluso, R.[Rosario], Avino, R.[Rosario], Belviso, P.[Pasquale], Caliro, S.[Stefano], Carandente, A.[Antonio], Chiodini, G.[Giovanni], Macedonio, G.[Giovanni], Avvisati, G.[Gala], Marfè, B.[Barbara],
Thermal Energy Release Measurement with Thermal Camera: The Case of La Solfatara Volcano (Italy),
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Zhong, Y.F.[Yan-Fei], Xu, Y.[Yao], Wang, X.Y.[Xin-Yu], Jia, T.Y.[Tian-Yi], Xia, G.S.[Gui-Song], Ma, A.L.[Ai-Long], Zhang, L.P.[Liang-Pei],
Pipeline leakage detection for district heating systems using multisource data in mid- and high-latitude regions,
PandRS(151), 2019, pp. 207-222.
Elsevier DOI 1904
Pipeline leakage detection, Multisource data, Infrared imaging, Unmanned aerial vehicles, Mid- and high-latitude regions BibRef

Kim, S.[Sungho], Kim, J.[Jungho], Lee, J.[Jinyong], Ahn, J.[Junmo],
AS-CRI: A New Metric of FTIR-Based Apparent Spectral-Contrast Radiant Intensity for Remote Thermal Signature Analysis,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Chen, X.H.[Xue-Hong], Guo, Z.F.[Zheng-Fei], Chen, J.[Jin], Yang, W.[Wei], Yao, Y.M.[Yan-Ming], Zhang, C.[Chishan], Cui, X.H.[Xi-Hong], Cao, X.[Xin],
Replacing the Red Band with the Red-SWIR Band (0.74 rho red+0.26 rho swir) Can Reduce the Sensitivity of Vegetation Indices to Soil Background,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Guha, A.[Arindam], Yamaguchi, Y.S.[Yasu-Shi], Chatterjee, S.[Snehamoy], Rani, K.[Komal], Kumar, K.V.[Kumranchat Vinod],
Emittance Spectroscopy and Broadband Thermal Remote Sensing Applied to Phosphorite and Its Utility in Geoexploration: A Study in the Parts of Rajasthan, India,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Ortiz-Sanz, J.[Juan], Gil-Docampo, M.[Mariluz], Arza-García, M.[Marcos], Cañas-Guerrero, I.[Ignacio],
IR Thermography from UAVs to Monitor Thermal Anomalies in the Envelopes of Traditional Wine Cellars: Field Test,
RS(11), No. 12, 2019, pp. xx-yy.
DOI Link 1907
BibRef

García-Sobrino, J.[Joaquín], Laparra, V.[Valero], Serra-Sagristà, J.[Joan], Calbet, X.[Xavier], Camps-Valls, G.[Gustau],
Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data,
GeoRS(57), No. 8, August 2019, pp. 5651-5668.
IEEE DOI 1908
IASI: Infrared Atmospheric Sounding Interferometer. data compression, geophysical techniques, IASI data, spatial compression, spectral compression, coding process, statistically based retrieval BibRef

Polla, F.[Félix], Boudjelaba, K.[Kamal], Emile, B.[Bruno], Laurent, H.[Hélène],
Proposal of Segmentation Method Adapted to the Infrared Sensor,
ACIVS17(639-650).
Springer DOI 1712
BibRef

Berg, A.[Amanda], Ahlberg, J.[Jorgen], Felsberg, M.[Michael],
A thermal Object Tracking benchmark,
AVSS15(1-6)
IEEE DOI 1511
Benchmark testing BibRef

Wu, Z.[Zheng], Fuller, N.[Nathan], Theriault, D.[Diane], Betke, M.[Margrit],
A Thermal Infrared Video Benchmark for Visual Analysis,
PBVS14(201-208)
IEEE DOI 1409
object detection; thermal infrared benchmark; visual tracking BibRef

Khan, M.N.A.[Mohammad Nazmul Alam], Fan, G.L.[Guo-Liang], Heisterkamp, D.R.[Douglas R.], Yu, L.J.[Liang-Jiang],
Automatic Target Recognition in Infrared Imagery Using Dense HOG Features and Relevance Grouping of Vocabulary,
PBVS14(293-298)
IEEE DOI 1409
BibRef

Moumtzidou, A.[Anastasia], Vrochidis, S.[Stefanos], Chatzilari, E.[Elisavet], Kompatsiaris, I.[Ioannis],
Discovery of environmental resources based on heatmap recognition,
ICIP13(1486-1490)
IEEE DOI 1402
classification; environmental data; heatmaps; image; visual features BibRef

Zhang, L.[Lei], Zhang, Y.N.[Yan-Ning], Wei, W.[Wei], Meng, Q.J.[Qing-Jie],
An associative saliency segmentation method for infrared targets,
ICIP13(4264-4268)
IEEE DOI 1402
Infrared Image; Saliency; Target Segmentation; Visual Attention Model BibRef

Liao, C.L., Huang, H.H.,
Study On Shadow Effects of Various Features On Close Range Thermal Images,
ISPRS12(XXXIX-B5:357-361).
DOI Link 1209
BibRef

Parag, T.[Toufiq],
Coupled label and intensity MRF models for IR target detection,
OTCBVS11(7-13).
IEEE DOI 1106
BibRef

Moreno, A.[Aitor], Segura, Á.[Álvaro], Korchi, A.[Anis], Posada, J.[Jorge], Otaegui, O.[Oihana],
Interactive Urban and Forest Fire Simulation with Extinguishment Support,
GeoInfo10(xx-yy).
PDF File. 1011
BibRef

Li, W.[Wei], Pan, C.H.[Chun-Hong], Liu, L.X.[Li-Xiong],
Saliency-based automatic target detection in forward looking infrared images,
ICIP09(957-960).
IEEE DOI 0911
BibRef

Qiao, Y.L.[Yu-Liang], Zhao, S.M.[Shang-Min], Fang, Y.[Yue],
Methodology Research in Exploring Geothermal Resources by Using Infrared Remote Sensing,
CISP09(1-4).
IEEE DOI 0910
BibRef

Bosch, I.[Ignacio], Gomez, S.[Soledad], Vergara, L.[Luis], Moragues, J.[Jorge],
Infrared image processing and its application to forest fire surveillance,
AVSBS07(283-288).
IEEE DOI 0709
BibRef

Starek, M.J.[Michael J.], Vemula, R.K.[Raghav K.], Slatton, K.C.[K. Clint], Shrestha, R.L.[Ramesh L.], Carter, W.E.[William E.],
Shoreline Based Feature Extraction and Optimal Feature Selection for Segmenting Airborne LiDAR Intensity Images,
ICIP07(IV: 369-372).
IEEE DOI 0709
BibRef

Mould, N.A.[Nick A.], Havlicek, J.P.[Joseph P.],
A conservative scene model update policy,
Southwest12(145-148).
IEEE DOI 1205
BibRef

Peddireddy, S.[Sahithi], Mould, N.A.[Nick A.], Havlicek, J.P.[Joseph P.],
AM-FM picture carrier beat type noise filters,
Southwest12(209-212).
IEEE DOI 1205
BibRef

Shook, M.[Mark], Junger, J.[John], Mould, N.A.[Nick A.], Havlicek, J.P.[Joseph P.],
Quantifying infrared target signature evolution using AM-FM features,
Southwest10(189-192).
IEEE DOI 1005
BibRef

Mould, N.A.[Nick A.], Nguyen, C.T.[Chuong T.], Havlicek, J.P.[Joseph P.],
Infrared Target Tracking with AM-FM Consistency Checks,
Southwest08(5-8).
IEEE DOI 0803
BibRef

Nguyen, C.T.[Chuong T.], Havlicek, J.P.[Joseph P.],
AM-FM image filters,
ICIP08(789-792).
IEEE DOI 0810
BibRef
Earlier:
Modulation Domain Features for Discriminating Infrared Targets and Backgrounds,
ICIP06(3245-3248).
IEEE DOI 0610
BibRef

Pei, J.H.[Ji-Hong], Lu, Z.Q.[Zong-Qing], Xie, W.X.[Wei-Xin],
A Method For IR Point Target Detection Based on Spatial-temporal Bilateral Filter,
ICPR06(III: 846-849).
IEEE DOI 0609
BibRef

Prokoski, F.[Francine],
History, Current Status, and Future of Infrared Identification,
CVBVS00(5).
IEEE DOI 0006
BibRef

Esteban, V.R., Sergio, T.I.,
Ghosting reduction in adaptive non-uniformity correction of infrared focal-plane array image sequences,
ICIP03(II: 1001-1004).
IEEE DOI 0312
BibRef

Lettner, M.[Martin], Sablatnig, R.[Robert],
Texture Analysis for Stroke Classification in Infrared Reflectogramms,
SCIA05(459-469).
Springer DOI 0506
BibRef

Kammerer, P.[Paul], Langs, G.[Georg], Sablatnig, R.[Robert], Zolda, E.[Ernestine],
Stroke Segmentation in Infrared Reflectograms,
SCIA03(1138-1145).
Springer DOI 0310
BibRef

Singh, S.[Sameer], Markou, M.[Markos], Haddon, J.[John],
FLIR Image Segmentation and Natural Object Classification,
ICPR00(Vol I: 681-684).
IEEE DOI 0009
BibRef

Dainty, P., Boyce, J.F., Dimitropoulos, C.H., Edmundson, P., Toulson, D.L., Bernhardt, M.,
Dual-Band ATR for Forward-Looking Infrared Images,
CVBVS99(23).
IEEE DOI BibRef 9900

Kuttikkad, S., Chellappa, R.,
Non-Gaussian CFAR Techniques for Target Detection in High-Resolution SAR Images,
ICIP94(I: 910-914).
IEEE DOI BibRef 9400

Kuttikkad, S.[Shyam], and Chellappa, R.[Rama],
Advanced Target Recognition,
UMD--F49620, March 1998.
WWW Link. BibRef 9803

Rong, S.[Songnian], Bhanu, B.[Bir],
Modeling Clutter and Context for Target Detection in Infrared Images,
CVPR96(106-113).
IEEE DOI BibRef 9600

Bhanu, B.[Bir], and Rong, S.[Songnian],
Characterizing Natural Backgrounds for Target Detection,
ARPA94(I:501-504). BibRef 9400

Sadjadi, F.,
Polarimetric IR Automatic Target Detection and Recognition,
ICASSP96(XX) Loral. BibRef 9600

Akerman, III, A.[Alexander], Patton, R., Delashmit, W., Hummel, R.A.,
Target Identification Using Geometric Hashing and FLIR/LADAR Fusion,
ARPA96(595-618). BibRef 9600

Sabol, B.M., Hall, K.G.,
Image Metrics Approach to Understanding Effects of Terrain and Environment on Performance of Thermal Target Acquisition Systems,
PESIPS93(XX-YY). BibRef 9300

Iannarilli, F.J.[Frank J.], Wohlers, M.R.[Martin R.],
Dynamic End-to-End Model Testbed for IR Detection Algorithms,
SPIE(1483), 1991, pp. 66-76. BibRef 9100

Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
ATR -- Small Targets IR, Infra-Red, Thermal, Applications .