| 000 | 01384camuuu200337 a 4500 | |
| 001 | 000000570846 | |
| 003 | OCoLC | |
| 005 | 19971022151706.0 | |
| 008 | 930416s1993 waua b 101 0 eng d | |
| 010 | ▼a 93084047 | |
| 020 | ▼a 0819411914 (pbk.) | |
| 040 | ▼a OWpIT ▼c DLC | |
| 042 | ▼a lccopycat | |
| 049 | ▼a ACSL ▼l 121031515 | |
| 050 | 0 4 | ▼a TK5102.5 ▼b .S539 1993 |
| 082 | 0 0 | ▼a 006.4 ▼2 20 |
| 090 | ▼a 006.4 ▼b S578 ▼c 1993 | |
| 245 | 0 0 | ▼a Signal processing, sensor fusion, and target recognition II : ▼b 12-14 April 1993, Orlando, Florida / ▼c Ivan Kadar, Vibeke Libby, chairs/editors ; sponsored and published by SPIE--The International Society for Optical Engineering. |
| 260 | ▼a Bellingham, Wash., USA : ▼b SPIE, ▼c c1993. | |
| 300 | ▼a ix, 426 p. : ▼b ill. ; ▼c 28 cm. | |
| 490 | 1 | ▼a Proceedings / SPIE--the International Society for Optical Engineering ; ▼v v. 1955. |
| 504 | ▼a Includes bibliographical references and author index. | |
| 650 | 0 | ▼a Optical pattern recognition ▼x Congresses. |
| 650 | 0 | ▼a Signal processing ▼x Digital techniques ▼x Congresses. |
| 650 | 0 | ▼a Multisensor data fusion ▼x Congresses. |
| 650 | 0 | ▼a Automatic tracking ▼x Congresses. |
| 700 | 1 | ▼a Kadar, Ivan. |
| 700 | 1 | ▼a Libby, Vibeke. |
| 710 | 2 | ▼a Society of Photo-optical Instrumentation Engineers. |
| 830 | 0 | ▼a Proceedings of SPIE--the International Society for Optical Engineering ; ▼v v. 1955. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/보존서고2(서양서)/ | 청구기호 006.4 S578 1993 | 등록번호 121031515 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
CONTENTS Conference Committee = ⅶ Introduction = ⅸ SESSION 1 MULTISENSOR FUSION Ⅰ Design of a multisensor data fusion system for target detection[1955-01]/ S. C. A. Thomopoulos[The Pennsylvania State Univ. and Intelnet] ; N. N. Okello[The Pennsylvania State Univ.] ; I. Kadar ; L.A. Lovas[Grumman Corp.] = 2 Model -based joint Detection/estimation approach for multisensor data fusion[1955-02]/ T. W. Hilands ; S. C. A. Thomopoulos[The Pennsylvania State Univ.] = 14 Predetection fusion with similar sensors[1955-03]/ P. K. Willett[Univ. of Connecticut] ; M. G. Alford ; V. C. Vannicola[Rome Lab.] = 26 Multichannel detection for correlated non-Gaussian random processes based on innovations[1955-44]/ M. Rangaswamy[Rome Lab] ; D. D. Weiner[Syracuse Univ] ; J. H. Michels[Rome Lab.] = 38 Neural Networks for sensor data fusion[1955-04]/ A. Filippidis[Defence Science and Technology Organisation(Australia)] ; R. E. Bogner[Univ. of Adelaide/South Australia] = 50 MLANS application to sensor fusion[1955-45]/ L. I. Perlovsky[Nichols Research Corp.] = 61 Multispectral data fusion using Neural networks[1955-05]/ R. Haberstroh ; I. Kadar[Grumman Corp.] = 65 SESSION 2 MULTISENSOR FUSION Ⅱ Implementation strategies for the central-level multihypthesis tracking fusion with muliple / E. Shahbazian ; M. A. Simard ; S. Bourassa[Paramax Systems Canada(Canana)] = 78 Inter-Actor conflict mediation within a multisesor tactical threat assessment system[1955-08]/ D. W. J. Chubb[U. S. Army CECOM RDEC Intelligence and Electronic Warfare Directorate] = 90 Feasibility of data fusion techniques applied to fotorcraft transmission diagnostics[1955-09]/ T. A. Dubois ; R. R. Pruyn[Boeing Defense & Space Group] = 105 Schema for fusion of simultaneous measurements of LWIR and visible signature data[1955-09]/ K. E. Eversmeyer ; W. D. Watts ; E. B. Bube[Teledyne Brown Engineering] = 117 Autonomous target recognition using remotely seensed surface vibration measurements / J. Gouris ; D. W. Ruck ; S. K. Rogers ; M. E. Oxley[Air Force Institute of technolgy] ; D. Barr[Army Night Vision Electronics Directorate] = 132 Three-dimensional feature extraction using data fusion method[1955-11]/ L.J . Liu ; J. Y. Yang ; Y. L. Cao[East China Institute of Technology(china)] = 144 SESSION 3 MULTITARGET TRACKING Information-based sensor management[1955-12]/ W. Schmaedeke[Paramax Systems Corp.] = 156 Image-based Target tracking : fusion architecture and sensor management[1955-13]/ B. Hersen ; A. Lalo ; D. Laneuville ; M. Mariton[MATRA MS2i(France)] = 165 Data association problems posed as multidmensional assignment problems ; algorithm development[1955-14]/ A. B. Poore ; N. Rijavec[Colorado state Univ] ; T. N. Barker ; M. L. Munger[IBM Federal Systems Co.] = 172 Target extraction and optical flow determination from fused sensor information[1955-15]/ T. Payne[Univ. of Adelaide/South Australia] = 183 Segmentation of laser ranges with respect to range and variance[1955-16]/ P. Pucar ; M. C. Millnert[Link$$\ddot o$$ ping Univ.(Sweden)] ; I. G. Renhorn ; D. Letalick[National Defence Research Establishment(Sweden)] = 195 SESSION 4 TARGET RECOGNITION Ⅰ Modeling of deterministic chaotic noise to improve target recognition[1955-17]/ A. D. McAulay ; K. Saruhan[Lehigh Univ.] = 210 Multitarget and Multibackground classification algorithm using neural networks[1955-18]/ R. Mamlook ; W. E. Thompson[New Mexico State Univ.] = 218 Data-Clustering algorithm using a self-organizing method[1955-19]/ R. Mamlook ; W. E. Thompson[New Mexico State Univ.] = 226 Robust fast model-based recognition of partially occluded objects using normalized interval vertex descrptors[1955-20]/ R. Parra-Loera ; H. Erives ; W. E. Thompson[New Mexico State Univ.] = 232 Artificial neural system development for airborne acoustic signature classification[1955-22]/ T. F. Tarr ; A. Farsaie[Baval Surface Warfare Ctr.] = 241 SESSION 5 TARGET RECOGNITION Ⅱ Multifunction sensor for target recognition[1955-23]/ W. M. James[GPALS PEO] ; P. C. Lindberg[Teledyne Brown Engineering] = 254 Seeker analysis toolbox[1955-25]/ J. B. Brown ; C. M. Lmard[Teledyne Brown Engineering] = 258 Contribution of depth information to ground vehicle identification using laser radar imagery data[1955-26]/ S. -Y. Hsu[Binghamton Univ.] = 269 Target detection using image motion error measure[1955-27]/ J. L. Wayman ; J. M. Libert ; T. -R. Tsao[Vitro Corp.] = 279 Clustering and compression of high-dimensional sensor data[1955-28]/ D. J. Herman ; S. C. Ahalt[The Ohio State Univ] ; R. A. Mitchell[Air Force Wright Lab.] = 286 Determining the fractal dimension of scenes and digital signals using ROSETA and other novel approaches[1955-46]/ H. M. Jaenisch ; P. E. Barton[Nichols Research Corp] ; R. T. Carruth[U. S. Army Space and Strategic Defense Command] = 298 SESSION 6 SIGNAL AND IMAGE PROCESSING Ⅰ Real-time intervisibility calculations for ground-based radar systems[1955-31]/ V. Libby ; G. L. Love ; F. -M. Chou[Lockheed Palo Alto Research Lab.] = 318 Rapid method for target motion detection using the spatiotemporal constraint equation[1955-32]/ J. L. Wayman ; C. J. Munno ; J. M. Libert ; T. -R. Tsak[Vitro Corp.] = 324 Detection of radar signal in noise using optimum time-frequency receiver[1955-33]/ V. C. Chen[Nabal Research Lab.] = 333 Technique for Large-dynamic-range wavelet image processing using coherent optics and binary SLMs[1955-34]/ H. Tuw ; C. J. Munno[Vitro Corp.] = 345 Determination of viewing aspect by maximization of image symmetry[1955-35]/ J. P. Garcia ; H. H. Szu[Naval Surface Warfare Ctr.] ; T. -R. Tsao ; J. M. Libert[Vitro Corp.] = 355 SESSION 7 SIGNAL AND IMAGE PROCESSING Ⅱ Parallel processing of run-length-encoded Boolean imagery : Linear transformations and high-level image operations[1955-37]/ M. S. Schmaiz[Univ. of Florida] = 364 Parallel processing of run-length-encoded Boolean imagery : linear transformations and high-level image operations[1955-37]/ M. S. Schmalz[Univ. of Florida] = 377 Surface extraction using spatial position from line drawings[1955-38]/ H. J. Yoo ; H. R. Myler ; A. R. Weeks[Univ. of Central Florida] = 388 Maximization of contour edge detection using adaptive thresholding[1955-39]/ M. D. Lewis ; A. R. Weeks ; H. R. Myler[Univ. of Central Florida] = 400 Software/hardware distributed processing network supporting the ada environment[1955-41]/ R. J. Wood ; Z. Pryk[Rome Lab.] = 408 Obtaining 3D information from remote sensing images[1955-43]/ H. Luo ; Y. Zhu ; F. Wan Huazhong[Univ. of Science and Technology(China)] = 420 Addendum = 425 Author Index = 426
