IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
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출원번호 |
US-0366932
(1999-08-04)
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발명자
/ 주소 |
- Chao, Tien-Hsin
- Daud, Taher
- Thakoor, Anikumar
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출원인 / 주소 |
- California Institute of Technology
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대리인 / 주소 |
Christie, Parker & Hale, LLP
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인용정보 |
피인용 횟수 :
31 인용 특허 :
15 |
초록
▼
A Hybrid Optoelectronic Neural Object Recognition System (HONORS), is disclosed, comprising two major building blocks: (1) an advanced grayscale optical correlator (OC) and (2) a massively parallel three-dimensional neural-processor. The optical correlator, with its inherent advantages in parallel p
A Hybrid Optoelectronic Neural Object Recognition System (HONORS), is disclosed, comprising two major building blocks: (1) an advanced grayscale optical correlator (OC) and (2) a massively parallel three-dimensional neural-processor. The optical correlator, with its inherent advantages in parallel processing and shift invariance, is used for target of interest (TOI) detection and segmentation. The three-dimensional neural-processor, with its robust neural learning capability, is used for target classification and identification. The hybrid optoelectronic neural object recognition system, with its powerful combination of optical processing and neural networks, enables real-time, large frame, automatic target recognition (ATR).
대표청구항
▼
A Hybrid Optoelectronic Neural Object Recognition System (HONORS), is disclosed, comprising two major building blocks: (1) an advanced grayscale optical correlator (OC) and (2) a massively parallel three-dimensional neural-processor. The optical correlator, with its inherent advantages in parallel p
A Hybrid Optoelectronic Neural Object Recognition System (HONORS), is disclosed, comprising two major building blocks: (1) an advanced grayscale optical correlator (OC) and (2) a massively parallel three-dimensional neural-processor. The optical correlator, with its inherent advantages in parallel processing and shift invariance, is used for target of interest (TOI) detection and segmentation. The three-dimensional neural-processor, with its robust neural learning capability, is used for target classification and identification. The hybrid optoelectronic neural object recognition system, with its powerful combination of optical processing and neural networks, enables real-time, large frame, automatic target recognition (ATR). 381/071.12; US-4672674, 19870600, Clough et al., 381/071.12; US-4677389, 19870600, Op de Beek et al., 381/120; US-4696030, 19870900, Egozi, 381/094.7; US-4696044, 19870900, Waller, Jr., 381/098; US-4718099, 19880100, Hotvet, 381/106; US-4723294, 19880200, Taguchi, 381/094.2; US-4731850, 19880300, Levitt et al., 381/092; US-4751739, 19880600, Serikawa et al., 381/104; US-4769847, 19880900, Taguchi, 381/094.7; US-4823391, 19890400, Schwartz, 381/103; US-4827458, 19890500, D'Alayer de Costemore D'Arc, 381/057; US-4837834, 19890600, Allie, 381/071.14; US-4852175, 19890700, Kates, 381/073.1; US-4864246, 19890900, Kato et al., 330/136; US-4887299, 19891200, Cummins et al., 381/106; US-4891605, 19900100, Tirkel, 330/129; US-4953221, 19900800, Holly et al., 381/108; US-4956867, 19900900, Zurek et al., 381/094.7; US-4965834, 19901000, Miller, 381/094.7; US-5018202, 19910500, Takahashi et al., 381/071.5; US-5018205, 19910500, Takagi et al., 381/086; US-5048091, 19910900, Sato et al., 381/107; US-5068834, 19911100, Fromont, 367/135; US-5077799, 19911200, Cotton, 381/057; US-5081682, 19920100, Kato et al., 381/057; US-5089997, 19920200, Pecukonis, 367/135; US-5107539, 19920400, Kato et al., 381/057; US-5117401, 19920500, Feintuch, 367/135; US-5126681, 19920600, Ziegler, Jr. et al., 327/552; US-5131047, 19920700, Hashimoto et al., 381/071.11; US-5146505, 19920900, Pfaff et al., 381/103; US-5146507, 19920900, Satoh et al., 381/086; US-5204971, 19930400, Takahashi et al., 381/086; US-5208866, 19930500, Kato et al., 381/057; US-5226016, 19930700, Christman, 381/094.2; US-5243661, 19930900, Ohkubo et al., 381/094.2; US-5255324, 19931000, Brewer et al., 381/107; US-5267322, 19931100, Smith et al., 330/149; US-5291558, 19940300, Ross, 381/107; US-5293425, 19940300, Oppenheim et al., 381/718; US-5311446, 19940500, Ross et al., 330/149; US-5325437, 19940600, Doi et al., 381/071.9; US-5416846, 19950500, Tamura et al., 381/071.8; US-5434922, 19950700, Miller et al., 381/057; US-5434926, 19950700, Watanabe et al., 381/108; US-5450494, 19950900, Okubo et al., 381/108; US-5485523, 19960100, Tamamura et al., 381/071.4; US-5530761, 19960600, d'Alayer de Costemore d'Arc, 381/057; US-5539832, 19960700, Weinstein et al., 381/094.1; US-5615270, 19970300, Miller et al., 381/057; US-5635903, 19970600, Koike et al., 340/384.1; US-5666426, 19970900, Helms, 381/057; US-5774565, 19980600, Benning et al., 381/083; US-5796847, 19980800, Kaihotsu et al., 381/057; US-5844992, 19981200, Boyer, 381/057; US-5872852, 19990200, Dougherty, 381/104; US-6061455, 20000500, Hadley et al., 381/107; US-6072881, 20000600, Linder, 381/094.1; US-6078670, 20000600, Beyer, 381/101; US-2001/0055400, 20011200, Lubbe et al.
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