Automatic target recognition

"From an engineer designing Automatic Target Recognition (ATR) systems for 40 years, comes this step-by-step guide to producing state-of-the-art ATR systems. The full spectrum of ATR designs are covered, from systems that just suggest targets to the warfighter to ATRs that could serve as the &q...

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Bibliographic Details
Main Author: Schachter, Bruce J. 1946- (Author)
Format: eBook
Language: English
Published: Bellingham, Washington (1000 20th St. Bellingham WA 98225-6705 USA) : SPIE, 2020.
Edition: Fourth edition.
Series: SPIE tutorial texts ; TT120.
Subjects:
Radar targets.
Optical pattern recognition.
Algorithms.
Image processing.
Computer algorithms.
elektronické knihy
electronic books
ISBN: 9781510631205
1510631208
9781510631229
9781510631212
9781510631199
Physical Description: 1 online resource (396 pages)

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Table of contents

LEADER 05864cam a2200517Mi 4500
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006 m o d
007 cr cn|||||||||
008 200331s2020 wau ob 001 0 eng d
040 |a SPIES  |b eng  |e rda  |c SPIES  |d OCLCO  |d UIU  |d OCLCF  |d UPM  |d OCLCQ  |d YDX  |d EUN  |d OCLCO  |d OCL  |d EBLCP  |d N$T  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 9781510631205  |q (pdf) 
020 |a 1510631208  |q (pdf) 
020 |z 9781510631229  |q (kindle edition) 
020 |z 9781510631212  |q (epub) 
020 |z 9781510631199  |q (paperback) 
024 7 |a 10.1117/3.2542436  |2 doi 
035 |a (OCoLC)1149511957  |z (OCoLC)1231611027 
100 1 |a Schachter, Bruce J.  |q (Bruce Jay),  |d 1946-  |e author.  |1 https://id.oclc.org/worldcat/entity/E39PCjGMMv6fgxg9H4J9gtHq6X 
245 1 0 |a Automatic target recognition /  |c Bruce J. Schachter. 
250 |a Fourth edition. 
264 1 |a Bellingham, Washington (1000 20th St. Bellingham WA 98225-6705 USA) :  |b SPIE,  |c 2020. 
300 |a 1 online resource (396 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Tutorial texts in optical engineering ;  |v volume TT120 
504 |a Includes bibliographical references and index. 
505 0 |a Preface -- 1. Definitions and performance measures: 1.1. What is automatic target recognition (ATR)? 1.2. Basic definitions; 1.3. Detection criteria; 1.4. Performance measures for target detection; 1.5. Classification criteria; 1.6. Experimental design; 1.7. Characterizations of ATR hardware/software; References -- 2. Target detection strategies: 2.1. Introduction; 2.2. Simple detection algorithms; 2.3. More-complex detectors; 2.4. Grand paradigms; 2.5. Traditional SAR and hyperspectral target detectors; 2.6. Conclusions and future direction; References; Appendices -- 3. Target classifier strategies: 3.1. Introduction; 3.2. Main issues to consider in target classification; 3.3. Feature extraction; 3.4. Feature selection; 3.5. Examples of feature types; 3.6. Examples of classifiers; 3.7. Discussion; References -- 4. Unification of automatic target tracking and automatic target recognition: 4.1. Introduction; 4.2. Categories of tracking problems; 4.3. Tracking problems; 4.4. Extensions of target tracking; 4.5. Collaborative ATT and ATR (ATT<->ATR); 4.6. Unification of ATT and ATR (ATT<->ATR); 4.7. Discussion; References -- 5. Multisensor fusion: 5.1. Introduction; 5.2. Critical fusion issues related to ATR; 5.3. Levels of fusion; 5.4. Multiclassifier fusion; 5.5. Multisensor fusion based on multiclassifier fusion; 5.6. Test and evaluation; 5.7. Beyond basic ATR fusion; 5.8. Discussion; References 
505 8 |a 6. Next-generation ATR: 6.1. Introduction; 6.2. Hardware design; 6.3. Algorithm/software design; 6.4. Potential impact; References -- 7. How smart is your automatic target recognizer? 7.1. Introduction; 7.2. Test for determining the intelligence of an ATR; 7.3. Sentient versus sapient ATR; 7.4. Discussion: where is ATR headed? References -- 8. ATR and lethal autonomous robots: 8.1. Introduction; 8.2. Lethal autonomous robots; 8.3. ATR and LARs: moral, legal, and ethical perspectives; 8.4. LARs and the OODA loop; 8.5. Should LARs be characterized as AI, ATR, machine learning, neural networks, deep learning, or what? 8.6. LARs: evolutionary or revolutionary? 8.7. Can the LAR's ATR achieve human level performance? 8.8. LARs: what can go wrong? 8.9. Discussion; References -- Appendix 1: Resources -- Appendix 2: Questions to pose to the ATR customer -- Appendix 3: Acronyms and abbreviations -- Index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a "From an engineer designing Automatic Target Recognition (ATR) systems for 40 years, comes this step-by-step guide to producing state-of-the-art ATR systems. The full spectrum of ATR designs are covered, from systems that just suggest targets to the warfighter to ATRs that could serve as the "brains" of lethal autonomous robots. Unfortunately, when it comes to ATR, some practitioners claim that their off-the-shelf canned algorithms magically leap from academic research to deployment with scant domain knowledge or system engineering. Deep learning is marketed more than deep understanding, deep explainability or deep fusion of on-platform resources. Naïve practitioners twist a few algorithmic knobs, and test on data of uncertain virtue, until performance seems superb. Unfortunately, with the enemy and ever changing environment conspiring to defeat detection and recognition, naively designed ATRs can fail in unexpected and spectacular ways. Trustworthy ATRs need to fuse multiple data and metadata sources, continuously learn from and adapt to their environment, interact with humans in natural language, and deal with in-library and out-of-library targets and confusor objects. This book provides a blueprint for smarter, more autonomous, more sophisticated ATR designs"--  |c Provided by publisher 
500 |a Title from PDF title page (SPIE eBooks Website, viewed 2020-03-31). 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Radar targets. 
650 0 |a Optical pattern recognition. 
650 0 |a Algorithms. 
650 0 |a Image processing. 
650 0 |a Computer algorithms. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
710 2 |a Society of Photo-Optical Instrumentation Engineers,  |e publisher. 
776 0 8 |i Print version  |z 1510631194  |z 9781510631199  |w (DLC) 2019048700 
830 0 |a SPIE tutorial texts ;  |v TT120. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpATRE0011/automatic-target-recognition?kpromoter=marc  |y Full text 

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