Optical remotesensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remotesensing tasks, ofte...
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ISBN:
(数字)9783642142123
ISBN:
(纸本)9783642142116;9783642267475
Optical remotesensing relies on exploiting multispectral and hyper spectral imagery possessing high spatial and spectral resolutions respectively. These modalities, although useful for most remotesensing tasks, often present challenges that must be addressed for their effective exploitation. This book presents current state-of-the-art algorithms that address the following key challenges encountered in representation and analysis of such optical remotely sensed data.
Challenges in pre-processingimages, storing and representing high dimensional data, fusing different sensor modalities, pattern classification and target recognition, visualization of high dimensional imagery.
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.;The 776 re...
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ISBN:
(数字)9783030012670
ISBN:
(纸本)9783030012663
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.;The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.
This 2-volume set LNCS 15297-15298 constitutes the refereed proceedings of the 46th Annual conference of the German Association for patternrecognition, DAGM-GCPR 2024, held in Munich, Germany, during September 10-13,...
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ISBN:
(数字)9783031851872
ISBN:
(纸本)9783031851865
This 2-volume set LNCS 15297-15298 constitutes the refereed proceedings of the 46th Annual conference of the German Association for patternrecognition, DAGM-GCPR 2024, held in Munich, Germany, during September 10-13, 2024.
The 44 full papers included in these proceedings were carefully reviewed and selected from 81 submissions. They are organized in these topical sections:
Part I: Clustering and Segmentation; Learning Techniques; Medical and Biological Applications; Uncertainty and Explainability.
Part II: Modelling of Faces and Shapes; image Generation and Reconstruction; 3D Analysis and Sythesis; Video Analysis; Photogrammetry and remotesensing.
This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017.;T...
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ISBN:
(数字)9783319633091
ISBN:
(纸本)9783319633084
This three-volume set LNCS 10361, LNCS 10362, and LNAI 10363 constitutes the refereed proceedings of the 13th International conference on Intelligent Computing, ICIC 2017, held in Liverpool, UK, in August 2017.;The 212 full papers and 20 short papers of the three proceedings volumes were carefully reviewed and selected from 612 submissions. This first volume of the set comprises 71 papers. The papers are organized in topical sections such as Evolutionary Computation and Learning; Neural Networks; Nature Inspired Computing and Optimization; Signal processing; patternrecognition; Biometrics recognition; imageprocessing; Information Security; Virtual Reality and Human-Computer Interaction; Business Intelligence and Multimedia Technology; Genetic Algorithms; Biomedical Informatics Theory and Methods; Particle Swarm Optimization and Niche Technology; Swarm Intelligence and Optimization; Independent Component Analysis; Compressed sensing and Sparse Coding; Natural Computing; Intelligent Computing in Computer Vision; Computational Intelligence and Security for image Applications in Social Network; Neural Networks: Theory and Application.
An image data set of 54 scenes was obtained from 1/8" by 1/8" areas on a set of 1:20,000 scale photography. The scenes which consisted of 6 samples from each of the nine categories scrub, orchard, heavily wo...
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An image data set of 54 scenes was obtained from 1/8" by 1/8" areas on a set of 1:20,000 scale photography. The scenes which consisted of 6 samples from each of the nine categories scrub, orchard, heavily wooded, urban, suburban, lake, swamp, marsh, and railroad yard was analyzed manually and automatically. For the automatic analysis, a set of features measuring the spatial dependence of the grey tones of neighboring resolution cells was defined. On the basis of these features and a simple decision rule which assumed that the features were independent and uniformly distributed on identification accuracy of 70% was achieved by training of 53 samples and assigning an identification to the 54th sample and repeating the experiment 54 times. This identification accuracy must be compared with the average 81% correct identification which five photointerpreters achieved with the same scenes, although the 81% correct identification is the accuracy achieved when they used the 9" × 9" photograph to interpret from. Note that the photograph is data of considerably higher resolution having much more context information on it than the small digitized 1/8" × 1/8" area the automatic analysis had available.
This book provides a comprehensive and systematic introduction to optoelectronic imaging techniques. Starting from the basis of photoelectric detection technology, it thoroughly discusses the basic knowledge of radiat...
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ISBN:
(数字)9789819654796
ISBN:
(纸本)9789819654789;9789819654819
This book provides a comprehensive and systematic introduction to optoelectronic imaging techniques. Starting from the basis of photoelectric detection technology, it thoroughly discusses the basic knowledge of radiation measurement and light metrics, the basic principles of semiconductors, and the basic physical effects and characteristic parameters of photoelectric detection devices. It further introduces the types and characteristics of light sources commonly used in photoelectric detection. This lays a solid foundation for readers to learn the single photon detector, single photon imaging technology, and spectral imaging technology. This book also details the working principle, classification characteristics, and performance evaluation method of single-photon detectors, as well as the applications in low-light detection and quantum communication. Spectral imaging technology and two-dimensional imaging technology are also explained in terms of basic principles, system classification and characteristics.
It also focuses on the practical applications of photoelectric detection technology in various fields, including remotesensing, atomic absorption spectroscopy analysis, mechanical quantity detection, etc., showing the wide application and great potential of photoelectric detection technology through specific cases. The frontiers and development trends of optoelectronic imaging technology are discussed, revealing the future development direction and challenges in this field for the readers.
presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algori...
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ISBN:
(数字)9781441988553
ISBN:
(纸本)9780306478659;9781461346920
presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own imageprocessing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/imageprocessing, as well as a reference for researchers in related fields.
This book guides its audience—which can range from novice users to experts— though a 55-chapter tour of Google Earth Engine. A sequenced and diverse set of lab materials, this is the product of more than a year of e...
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ISBN:
(数字)9783031265884
ISBN:
(纸本)9783031265877;9783031265907
This book guides its audience—which can range from novice users to experts— though a 55-chapter tour of Google Earth Engine. A sequenced and diverse set of lab materials, this is the product of more than a year of effort from more than a hundred individuals, collecting new exercises from professors, undergraduates, master’s students, PhD students, postdocs, and independent consultants.;Cloud Based remotesensing with Google Earth Engine is broadly organized into two halves. The first half, Fundamentals, is a set of 31 labs designed to take the reader from being a complete Earth Engine novice to being a quite advanced user. The second half, Applications, presents a tour of the world of Earth Engine across 24 chapters, showing how it is used in a very wide variety of settings that rely on remote-sensing data
The three volume set LNCS 7583, 7584 and 7585 comprises the Workshops and Demonstrations which took place in connection with the European conference on Computer Vision, ECCV 2012, held in Firenze, Italy, in October 2...
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ISBN:
(数字)9783642338854
ISBN:
(纸本)9783642338847
The three volume set LNCS 7583, 7584 and 7585 comprises the Workshops and Demonstrations which took place in connection with the European conference on Computer Vision, ECCV 2012, held in Firenze, Italy, in October 2012.
The total of 179 workshop papers and 23 demonstration papers was carefully reviewed and selected for inclusion in the proceedings.
They where held at workshops with the following themes: non-rigid shape analysis and deformable image alignment; visual analysis and geo-localization of large-scale imagery; Web-scale vision and social media; video event categorization, tagging and retrieval; re-identification; biological and computer vision interfaces; where computer vision meets art; consumer depth cameras for computer vision; unsolved problems in optical flow and stereo estimation; what's in a face?; color and photometry in computer vision; computer vision in vehicle technology: from earth to mars; parts and attributes; analysis and retrieval of tracked events and motion in imagery streams; action recognition and pose estimation in still images; higher-order models and global constraints in computer vision; information fusion in computer vision for concept recognition; 2.5D sensing technologies in motion: the quest for 3D; benchmarking facial image analysis technologies.
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