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001 | 978-981-99-9799-2 | ||
003 | DE-He213 | ||
005 | 20240423130335.0 | ||
007 | cr nn 008mamaa | ||
008 | 240329s2024 si | s |||| 0|eng d | ||
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_a9789819997992 _9978-981-99-9799-2 |
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024 | 7 |
_a10.1007/978-981-99-9799-2 _2doi |
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_a006 _223 |
100 | 1 |
_aZhu, Hu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aInfrared Small Target Detection _h[electronic resource] : _bTheory, Methods, and Algorithms. / _cby Hu Zhu, Yushan Pan, Lizhen Deng, Guoxia Xu. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
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300 |
_aXIV, 168 p. 1 illus. _bonline resource. |
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336 |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aChapter 1: Introduction -- Chapter 2: Preliminaries.-Chapter 3: Morphological Transformation for infrared small object detection -- Chapter 4: Low-rank tensor decomposition for infrared small object detection -- Chapter 5: Deep learning methods for infrared small object detection -- Chapter 6: Performance of different methods. Chapter 7: Summary and Outlook of research on infrared small target detection. | |
520 | _aUncover the secrets of cutting-edge research in “Infrared Small Target Detection,” a crucial resource that delves into the dynamic world of infrared imaging and detection algorithms. This comprehensive book is an indispensable gem for the research community, offering a profound introduction to the theory, methods, and algorithms underlying infrared small object detection. As an invaluable guide, this book explores diverse models and categories of infrared small object detection algorithms, providing meticulous descriptions and comparisons of their strengths and limitations. Perfectly tailored for researchers, practitioners, and students with a passion for infrared imaging and detection, this book equips readers with the necessary knowledge to embark on groundbreaking investigations in this field.Readers can particularly be drawn to the book's methods, results, and topics, encompassing diverse categories of infrared small object detection algorithms and their corresponding advantages and disadvantages. The book also imparts foundational knowledge in mathematical morphology, tensor decomposition, and deep learning, enabling readers to grasp the underlying principles of these advanced algorithms. Experience the key benefits of “Infrared Small Target Detection” as readers gain a profound understanding of theory, methods, and algorithms tailored to infrared small object detection. The comprehensive descriptions and comparisons of various algorithm categories empower readers to select the perfect algorithms for their specific applications. Unlock the potential of this groundbreaking resource with a basic understanding of mathematics, statistics, and image processing. Some familiarity with infrared imaging and detection proves advantageous in fully immersing oneself in the wealth of knowledge presented within these pages. | ||
650 | 0 |
_aImage processing _xDigital techniques. |
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650 | 0 | _aComputer vision. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 |
_aComputer science _xMathematics. |
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650 | 0 | _aComputer science. | |
650 | 0 | _aSoftware engineering. | |
650 | 0 | _aProgramming languages (Electronic computers). | |
650 | 1 | 4 | _aComputer Imaging, Vision, Pattern Recognition and Graphics. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aMathematics of Computing. |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aSoftware Engineering. |
650 | 2 | 4 | _aProgramming Language. |
700 | 1 |
_aPan, Yushan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aDeng, Lizhen. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aXu, Guoxia. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9789819997985 |
776 | 0 | 8 |
_iPrinted edition: _z9789819998005 |
776 | 0 | 8 |
_iPrinted edition: _z9789819998012 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-99-9799-2 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
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